🍻 cheers
Browse files- README.md +12 -7
- all_results.json +16 -0
- config.json +1 -1
- eval_results.json +12 -0
- runs/Apr07_03-28-54_datavisu2/events.out.tfevents.1712665220.datavisu2.1419.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +2090 -0
README.md
CHANGED
|
@@ -1,6 +1,11 @@
|
|
| 1 |
---
|
| 2 |
-
|
|
|
|
|
|
|
|
|
|
| 3 |
tags:
|
|
|
|
|
|
|
| 4 |
- generated_from_trainer
|
| 5 |
metrics:
|
| 6 |
- accuracy
|
|
@@ -14,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
# DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
-
- Loss: 0.
|
| 20 |
-
- F1 Micro: 0.
|
| 21 |
-
- F1 Macro: 0.
|
| 22 |
-
- Roc Auc: 0.
|
| 23 |
-
- Accuracy: 0.
|
| 24 |
- Learning Rate: 0.0000
|
| 25 |
|
| 26 |
## Model description
|
|
|
|
| 1 |
---
|
| 2 |
+
language:
|
| 3 |
+
- eng
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
base_model: facebook/dinov2-large
|
| 6 |
tags:
|
| 7 |
+
- multilabel-image-classification
|
| 8 |
+
- multilabel
|
| 9 |
- generated_from_trainer
|
| 10 |
metrics:
|
| 11 |
- accuracy
|
|
|
|
| 19 |
|
| 20 |
# DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze
|
| 21 |
|
| 22 |
+
This model is a fine-tuned version of [facebook/dinov2-large](https://huggingface.co/facebook/dinov2-large) on the multilabel_complete_dataset dataset.
|
| 23 |
It achieves the following results on the evaluation set:
|
| 24 |
+
- Loss: 0.1181
|
| 25 |
+
- F1 Micro: 0.8219
|
| 26 |
+
- F1 Macro: 0.7131
|
| 27 |
+
- Roc Auc: 0.8797
|
| 28 |
+
- Accuracy: 0.3214
|
| 29 |
- Learning Rate: 0.0000
|
| 30 |
|
| 31 |
## Model description
|
all_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 127.0,
|
| 3 |
+
"eval_accuracy": 0.3214161749392572,
|
| 4 |
+
"eval_f1_macro": 0.7130919408806389,
|
| 5 |
+
"eval_f1_micro": 0.8219422171312205,
|
| 6 |
+
"eval_loss": 0.11805282533168793,
|
| 7 |
+
"eval_roc_auc": 0.8796827550466734,
|
| 8 |
+
"eval_runtime": 695.0536,
|
| 9 |
+
"eval_samples_per_second": 4.145,
|
| 10 |
+
"eval_steps_per_second": 0.131,
|
| 11 |
+
"learning_rate": 1.0000000000000002e-07,
|
| 12 |
+
"train_loss": 0.0713793940258306,
|
| 13 |
+
"train_runtime": 211000.3165,
|
| 14 |
+
"train_samples_per_second": 6.162,
|
| 15 |
+
"train_steps_per_second": 0.193
|
| 16 |
+
}
|
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "
|
| 3 |
"apply_layernorm": true,
|
| 4 |
"architectures": [
|
| 5 |
"NewheadDinov2ForImageClassification"
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "facebook/dinov2-large2024_04_07",
|
| 3 |
"apply_layernorm": true,
|
| 4 |
"architectures": [
|
| 5 |
"NewheadDinov2ForImageClassification"
|
eval_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 127.0,
|
| 3 |
+
"eval_accuracy": 0.3214161749392572,
|
| 4 |
+
"eval_f1_macro": 0.7130919408806389,
|
| 5 |
+
"eval_f1_micro": 0.8219422171312205,
|
| 6 |
+
"eval_loss": 0.11805282533168793,
|
| 7 |
+
"eval_roc_auc": 0.8796827550466734,
|
| 8 |
+
"eval_runtime": 695.0536,
|
| 9 |
+
"eval_samples_per_second": 4.145,
|
| 10 |
+
"eval_steps_per_second": 0.131,
|
| 11 |
+
"learning_rate": 1.0000000000000002e-07
|
| 12 |
+
}
|
runs/Apr07_03-28-54_datavisu2/events.out.tfevents.1712665220.datavisu2.1419.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1c1a6e6501359d66fd41f5bcee69980c7be659f04660e50c5dc68d20439a004f
|
| 3 |
+
size 634
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 127.0,
|
| 3 |
+
"learning_rate": 1.0000000000000002e-07,
|
| 4 |
+
"train_loss": 0.0713793940258306,
|
| 5 |
+
"train_runtime": 211000.3165,
|
| 6 |
+
"train_samples_per_second": 6.162,
|
| 7 |
+
"train_steps_per_second": 0.193
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2090 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.11870068311691284,
|
| 3 |
+
"best_model_checkpoint": "/home1/datawork/mcontini/models/multilabel/huggingface/DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze/checkpoint-31707",
|
| 4 |
+
"epoch": 127.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 34417,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 1.0,
|
| 13 |
+
"eval_accuracy": 0.2206588881262869,
|
| 14 |
+
"eval_f1_macro": 0.49067608571654225,
|
| 15 |
+
"eval_f1_micro": 0.7368702869126769,
|
| 16 |
+
"eval_loss": 0.1679287850856781,
|
| 17 |
+
"eval_roc_auc": 0.8187531778602468,
|
| 18 |
+
"eval_runtime": 714.8817,
|
| 19 |
+
"eval_samples_per_second": 4.076,
|
| 20 |
+
"eval_steps_per_second": 0.129,
|
| 21 |
+
"learning_rate": 0.001,
|
| 22 |
+
"step": 271
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"epoch": 1.85,
|
| 26 |
+
"learning_rate": 0.001,
|
| 27 |
+
"loss": 0.2713,
|
| 28 |
+
"step": 500
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"epoch": 2.0,
|
| 32 |
+
"eval_accuracy": 0.2515442690459849,
|
| 33 |
+
"eval_f1_macro": 0.538945165530625,
|
| 34 |
+
"eval_f1_micro": 0.761357152262652,
|
| 35 |
+
"eval_loss": 0.15397264063358307,
|
| 36 |
+
"eval_roc_auc": 0.8356163050775759,
|
| 37 |
+
"eval_runtime": 720.5749,
|
| 38 |
+
"eval_samples_per_second": 4.044,
|
| 39 |
+
"eval_steps_per_second": 0.128,
|
| 40 |
+
"learning_rate": 0.001,
|
| 41 |
+
"step": 542
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 3.0,
|
| 45 |
+
"eval_accuracy": 0.2525737817433082,
|
| 46 |
+
"eval_f1_macro": 0.6053847883354035,
|
| 47 |
+
"eval_f1_micro": 0.7728152001031681,
|
| 48 |
+
"eval_loss": 0.14765480160713196,
|
| 49 |
+
"eval_roc_auc": 0.8471568306864959,
|
| 50 |
+
"eval_runtime": 730.8961,
|
| 51 |
+
"eval_samples_per_second": 3.987,
|
| 52 |
+
"eval_steps_per_second": 0.126,
|
| 53 |
+
"learning_rate": 0.001,
|
| 54 |
+
"step": 813
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 3.69,
|
| 58 |
+
"learning_rate": 0.001,
|
| 59 |
+
"loss": 0.1679,
|
| 60 |
+
"step": 1000
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 4.0,
|
| 64 |
+
"eval_accuracy": 0.2594371997254633,
|
| 65 |
+
"eval_f1_macro": 0.5847686766758632,
|
| 66 |
+
"eval_f1_micro": 0.7755244755244756,
|
| 67 |
+
"eval_loss": 0.1577611267566681,
|
| 68 |
+
"eval_roc_auc": 0.8442033715582856,
|
| 69 |
+
"eval_runtime": 714.9053,
|
| 70 |
+
"eval_samples_per_second": 4.076,
|
| 71 |
+
"eval_steps_per_second": 0.129,
|
| 72 |
+
"learning_rate": 0.001,
|
| 73 |
+
"step": 1084
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 5.0,
|
| 77 |
+
"eval_accuracy": 0.2618393960192176,
|
| 78 |
+
"eval_f1_macro": 0.6124919180480791,
|
| 79 |
+
"eval_f1_micro": 0.7818521347933113,
|
| 80 |
+
"eval_loss": 0.1426197737455368,
|
| 81 |
+
"eval_roc_auc": 0.8555100487696016,
|
| 82 |
+
"eval_runtime": 733.6285,
|
| 83 |
+
"eval_samples_per_second": 3.972,
|
| 84 |
+
"eval_steps_per_second": 0.125,
|
| 85 |
+
"learning_rate": 0.001,
|
| 86 |
+
"step": 1355
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 5.54,
|
| 90 |
+
"learning_rate": 0.001,
|
| 91 |
+
"loss": 0.1598,
|
| 92 |
+
"step": 1500
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 6.0,
|
| 96 |
+
"eval_accuracy": 0.25497597803706246,
|
| 97 |
+
"eval_f1_macro": 0.6238861296316591,
|
| 98 |
+
"eval_f1_micro": 0.7822487732024749,
|
| 99 |
+
"eval_loss": 0.1422213762998581,
|
| 100 |
+
"eval_roc_auc": 0.854243572334213,
|
| 101 |
+
"eval_runtime": 724.219,
|
| 102 |
+
"eval_samples_per_second": 4.024,
|
| 103 |
+
"eval_steps_per_second": 0.127,
|
| 104 |
+
"learning_rate": 0.001,
|
| 105 |
+
"step": 1626
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 7.0,
|
| 109 |
+
"eval_accuracy": 0.255662319835278,
|
| 110 |
+
"eval_f1_macro": 0.6319974141584176,
|
| 111 |
+
"eval_f1_micro": 0.7825118828416049,
|
| 112 |
+
"eval_loss": 0.1426122486591339,
|
| 113 |
+
"eval_roc_auc": 0.8534283984871422,
|
| 114 |
+
"eval_runtime": 746.9062,
|
| 115 |
+
"eval_samples_per_second": 3.901,
|
| 116 |
+
"eval_steps_per_second": 0.123,
|
| 117 |
+
"learning_rate": 0.001,
|
| 118 |
+
"step": 1897
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 7.38,
|
| 122 |
+
"learning_rate": 0.001,
|
| 123 |
+
"loss": 0.1571,
|
| 124 |
+
"step": 2000
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 8.0,
|
| 128 |
+
"eval_accuracy": 0.26286890871654084,
|
| 129 |
+
"eval_f1_macro": 0.622325808061766,
|
| 130 |
+
"eval_f1_micro": 0.7755977927651747,
|
| 131 |
+
"eval_loss": 0.1528300642967224,
|
| 132 |
+
"eval_roc_auc": 0.8437122124534273,
|
| 133 |
+
"eval_runtime": 750.7491,
|
| 134 |
+
"eval_samples_per_second": 3.881,
|
| 135 |
+
"eval_steps_per_second": 0.123,
|
| 136 |
+
"learning_rate": 0.001,
|
| 137 |
+
"step": 2168
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 9.0,
|
| 141 |
+
"eval_accuracy": 0.24811256005490734,
|
| 142 |
+
"eval_f1_macro": 0.6413065292545327,
|
| 143 |
+
"eval_f1_micro": 0.7796035913942063,
|
| 144 |
+
"eval_loss": 0.1438213288784027,
|
| 145 |
+
"eval_roc_auc": 0.8548646774451706,
|
| 146 |
+
"eval_runtime": 702.3842,
|
| 147 |
+
"eval_samples_per_second": 4.149,
|
| 148 |
+
"eval_steps_per_second": 0.131,
|
| 149 |
+
"learning_rate": 0.001,
|
| 150 |
+
"step": 2439
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 9.23,
|
| 154 |
+
"learning_rate": 0.001,
|
| 155 |
+
"loss": 0.1554,
|
| 156 |
+
"step": 2500
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 10.0,
|
| 160 |
+
"eval_accuracy": 0.26973232669869596,
|
| 161 |
+
"eval_f1_macro": 0.6289481397755302,
|
| 162 |
+
"eval_f1_micro": 0.7888898226741743,
|
| 163 |
+
"eval_loss": 0.14050152897834778,
|
| 164 |
+
"eval_roc_auc": 0.8621391370400399,
|
| 165 |
+
"eval_runtime": 707.8611,
|
| 166 |
+
"eval_samples_per_second": 4.117,
|
| 167 |
+
"eval_steps_per_second": 0.13,
|
| 168 |
+
"learning_rate": 0.001,
|
| 169 |
+
"step": 2710
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 11.0,
|
| 173 |
+
"eval_accuracy": 0.26835964310226496,
|
| 174 |
+
"eval_f1_macro": 0.6222474437475864,
|
| 175 |
+
"eval_f1_micro": 0.789769130122821,
|
| 176 |
+
"eval_loss": 0.14092855155467987,
|
| 177 |
+
"eval_roc_auc": 0.8613792306841266,
|
| 178 |
+
"eval_runtime": 711.2194,
|
| 179 |
+
"eval_samples_per_second": 4.097,
|
| 180 |
+
"eval_steps_per_second": 0.129,
|
| 181 |
+
"learning_rate": 0.001,
|
| 182 |
+
"step": 2981
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 11.07,
|
| 186 |
+
"learning_rate": 0.001,
|
| 187 |
+
"loss": 0.1536,
|
| 188 |
+
"step": 3000
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 12.0,
|
| 192 |
+
"eval_accuracy": 0.272477693891558,
|
| 193 |
+
"eval_f1_macro": 0.6165764997376745,
|
| 194 |
+
"eval_f1_micro": 0.7862856154611094,
|
| 195 |
+
"eval_loss": 0.1391688883304596,
|
| 196 |
+
"eval_roc_auc": 0.8528316876814077,
|
| 197 |
+
"eval_runtime": 716.1193,
|
| 198 |
+
"eval_samples_per_second": 4.069,
|
| 199 |
+
"eval_steps_per_second": 0.128,
|
| 200 |
+
"learning_rate": 0.001,
|
| 201 |
+
"step": 3252
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 12.92,
|
| 205 |
+
"learning_rate": 0.001,
|
| 206 |
+
"loss": 0.1526,
|
| 207 |
+
"step": 3500
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 13.0,
|
| 211 |
+
"eval_accuracy": 0.2625257378174331,
|
| 212 |
+
"eval_f1_macro": 0.6418972133310931,
|
| 213 |
+
"eval_f1_micro": 0.7877202761222827,
|
| 214 |
+
"eval_loss": 0.13992685079574585,
|
| 215 |
+
"eval_roc_auc": 0.8558891516745222,
|
| 216 |
+
"eval_runtime": 710.6314,
|
| 217 |
+
"eval_samples_per_second": 4.101,
|
| 218 |
+
"eval_steps_per_second": 0.129,
|
| 219 |
+
"learning_rate": 0.001,
|
| 220 |
+
"step": 3523
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 14.0,
|
| 224 |
+
"eval_accuracy": 0.26492793411118737,
|
| 225 |
+
"eval_f1_macro": 0.632569342193695,
|
| 226 |
+
"eval_f1_micro": 0.7859690345319514,
|
| 227 |
+
"eval_loss": 0.1437946856021881,
|
| 228 |
+
"eval_roc_auc": 0.8609422021280538,
|
| 229 |
+
"eval_runtime": 694.5265,
|
| 230 |
+
"eval_samples_per_second": 4.196,
|
| 231 |
+
"eval_steps_per_second": 0.132,
|
| 232 |
+
"learning_rate": 0.001,
|
| 233 |
+
"step": 3794
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 14.76,
|
| 237 |
+
"learning_rate": 0.001,
|
| 238 |
+
"loss": 0.1535,
|
| 239 |
+
"step": 4000
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 15.0,
|
| 243 |
+
"eval_accuracy": 0.2735072065888813,
|
| 244 |
+
"eval_f1_macro": 0.6499317144862637,
|
| 245 |
+
"eval_f1_micro": 0.7930450968779085,
|
| 246 |
+
"eval_loss": 0.13769365847110748,
|
| 247 |
+
"eval_roc_auc": 0.8625195818341326,
|
| 248 |
+
"eval_runtime": 690.6675,
|
| 249 |
+
"eval_samples_per_second": 4.219,
|
| 250 |
+
"eval_steps_per_second": 0.133,
|
| 251 |
+
"learning_rate": 0.001,
|
| 252 |
+
"step": 4065
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 16.0,
|
| 256 |
+
"eval_accuracy": 0.2676733013040494,
|
| 257 |
+
"eval_f1_macro": 0.6435362275021823,
|
| 258 |
+
"eval_f1_micro": 0.7868312757201646,
|
| 259 |
+
"eval_loss": 0.13966824114322662,
|
| 260 |
+
"eval_roc_auc": 0.8526053782518377,
|
| 261 |
+
"eval_runtime": 692.8928,
|
| 262 |
+
"eval_samples_per_second": 4.206,
|
| 263 |
+
"eval_steps_per_second": 0.133,
|
| 264 |
+
"learning_rate": 0.001,
|
| 265 |
+
"step": 4336
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 16.61,
|
| 269 |
+
"learning_rate": 0.001,
|
| 270 |
+
"loss": 0.1517,
|
| 271 |
+
"step": 4500
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 17.0,
|
| 275 |
+
"eval_accuracy": 0.26458476321207963,
|
| 276 |
+
"eval_f1_macro": 0.6400976985447264,
|
| 277 |
+
"eval_f1_micro": 0.7928011464216472,
|
| 278 |
+
"eval_loss": 0.1382310837507248,
|
| 279 |
+
"eval_roc_auc": 0.8634350422987906,
|
| 280 |
+
"eval_runtime": 684.8353,
|
| 281 |
+
"eval_samples_per_second": 4.255,
|
| 282 |
+
"eval_steps_per_second": 0.134,
|
| 283 |
+
"learning_rate": 0.001,
|
| 284 |
+
"step": 4607
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 18.0,
|
| 288 |
+
"eval_accuracy": 0.26835964310226496,
|
| 289 |
+
"eval_f1_macro": 0.6285887470600311,
|
| 290 |
+
"eval_f1_micro": 0.7912449392712552,
|
| 291 |
+
"eval_loss": 0.1392030268907547,
|
| 292 |
+
"eval_roc_auc": 0.8624142094617062,
|
| 293 |
+
"eval_runtime": 684.0603,
|
| 294 |
+
"eval_samples_per_second": 4.26,
|
| 295 |
+
"eval_steps_per_second": 0.134,
|
| 296 |
+
"learning_rate": 0.001,
|
| 297 |
+
"step": 4878
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 18.45,
|
| 301 |
+
"learning_rate": 0.001,
|
| 302 |
+
"loss": 0.1524,
|
| 303 |
+
"step": 5000
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 19.0,
|
| 307 |
+
"eval_accuracy": 0.26355525051475637,
|
| 308 |
+
"eval_f1_macro": 0.6182634857374021,
|
| 309 |
+
"eval_f1_micro": 0.7874116344434035,
|
| 310 |
+
"eval_loss": 0.1391826868057251,
|
| 311 |
+
"eval_roc_auc": 0.8575979217492725,
|
| 312 |
+
"eval_runtime": 683.6418,
|
| 313 |
+
"eval_samples_per_second": 4.262,
|
| 314 |
+
"eval_steps_per_second": 0.135,
|
| 315 |
+
"learning_rate": 0.001,
|
| 316 |
+
"step": 5149
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 20.0,
|
| 320 |
+
"eval_accuracy": 0.25978037062457104,
|
| 321 |
+
"eval_f1_macro": 0.6286353323757679,
|
| 322 |
+
"eval_f1_micro": 0.7878349022447502,
|
| 323 |
+
"eval_loss": 0.13860712945461273,
|
| 324 |
+
"eval_roc_auc": 0.857768912450985,
|
| 325 |
+
"eval_runtime": 691.5194,
|
| 326 |
+
"eval_samples_per_second": 4.214,
|
| 327 |
+
"eval_steps_per_second": 0.133,
|
| 328 |
+
"learning_rate": 0.001,
|
| 329 |
+
"step": 5420
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 20.3,
|
| 333 |
+
"learning_rate": 0.001,
|
| 334 |
+
"loss": 0.1527,
|
| 335 |
+
"step": 5500
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 21.0,
|
| 339 |
+
"eval_accuracy": 0.2601235415236788,
|
| 340 |
+
"eval_f1_macro": 0.6408380159549439,
|
| 341 |
+
"eval_f1_micro": 0.7879620486841541,
|
| 342 |
+
"eval_loss": 0.13738416135311127,
|
| 343 |
+
"eval_roc_auc": 0.8556654235498968,
|
| 344 |
+
"eval_runtime": 685.1425,
|
| 345 |
+
"eval_samples_per_second": 4.253,
|
| 346 |
+
"eval_steps_per_second": 0.134,
|
| 347 |
+
"learning_rate": 0.001,
|
| 348 |
+
"step": 5691
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 22.0,
|
| 352 |
+
"eval_accuracy": 0.2704186684969115,
|
| 353 |
+
"eval_f1_macro": 0.6476322873247978,
|
| 354 |
+
"eval_f1_micro": 0.7897032412554519,
|
| 355 |
+
"eval_loss": 0.13765838742256165,
|
| 356 |
+
"eval_roc_auc": 0.8577058498082936,
|
| 357 |
+
"eval_runtime": 697.7818,
|
| 358 |
+
"eval_samples_per_second": 4.176,
|
| 359 |
+
"eval_steps_per_second": 0.132,
|
| 360 |
+
"learning_rate": 0.001,
|
| 361 |
+
"step": 5962
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 22.14,
|
| 365 |
+
"learning_rate": 0.001,
|
| 366 |
+
"loss": 0.1513,
|
| 367 |
+
"step": 6000
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 23.0,
|
| 371 |
+
"eval_accuracy": 0.26973232669869596,
|
| 372 |
+
"eval_f1_macro": 0.6442899469566483,
|
| 373 |
+
"eval_f1_micro": 0.7955080753701211,
|
| 374 |
+
"eval_loss": 0.13733763992786407,
|
| 375 |
+
"eval_roc_auc": 0.865520436446917,
|
| 376 |
+
"eval_runtime": 694.652,
|
| 377 |
+
"eval_samples_per_second": 4.195,
|
| 378 |
+
"eval_steps_per_second": 0.132,
|
| 379 |
+
"learning_rate": 0.001,
|
| 380 |
+
"step": 6233
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 23.99,
|
| 384 |
+
"learning_rate": 0.001,
|
| 385 |
+
"loss": 0.1514,
|
| 386 |
+
"step": 6500
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 24.0,
|
| 390 |
+
"eval_accuracy": 0.2656142759094029,
|
| 391 |
+
"eval_f1_macro": 0.6476856744170203,
|
| 392 |
+
"eval_f1_micro": 0.7877039652128988,
|
| 393 |
+
"eval_loss": 0.15933051705360413,
|
| 394 |
+
"eval_roc_auc": 0.854747407398644,
|
| 395 |
+
"eval_runtime": 693.7997,
|
| 396 |
+
"eval_samples_per_second": 4.2,
|
| 397 |
+
"eval_steps_per_second": 0.133,
|
| 398 |
+
"learning_rate": 0.001,
|
| 399 |
+
"step": 6504
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 25.0,
|
| 403 |
+
"eval_accuracy": 0.2656142759094029,
|
| 404 |
+
"eval_f1_macro": 0.6476685424002145,
|
| 405 |
+
"eval_f1_micro": 0.7909313518534156,
|
| 406 |
+
"eval_loss": 0.1371144950389862,
|
| 407 |
+
"eval_roc_auc": 0.8619333499582761,
|
| 408 |
+
"eval_runtime": 697.1431,
|
| 409 |
+
"eval_samples_per_second": 4.18,
|
| 410 |
+
"eval_steps_per_second": 0.132,
|
| 411 |
+
"learning_rate": 0.001,
|
| 412 |
+
"step": 6775
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"epoch": 25.83,
|
| 416 |
+
"learning_rate": 0.001,
|
| 417 |
+
"loss": 0.1513,
|
| 418 |
+
"step": 7000
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 26.0,
|
| 422 |
+
"eval_accuracy": 0.26664378860672616,
|
| 423 |
+
"eval_f1_macro": 0.6272636530018297,
|
| 424 |
+
"eval_f1_micro": 0.7871246489522575,
|
| 425 |
+
"eval_loss": 0.13742324709892273,
|
| 426 |
+
"eval_roc_auc": 0.8534693919460551,
|
| 427 |
+
"eval_runtime": 694.4047,
|
| 428 |
+
"eval_samples_per_second": 4.196,
|
| 429 |
+
"eval_steps_per_second": 0.132,
|
| 430 |
+
"learning_rate": 0.001,
|
| 431 |
+
"step": 7046
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 27.0,
|
| 435 |
+
"eval_accuracy": 0.26458476321207963,
|
| 436 |
+
"eval_f1_macro": 0.6470102889103709,
|
| 437 |
+
"eval_f1_micro": 0.7933764066578238,
|
| 438 |
+
"eval_loss": 0.13733525574207306,
|
| 439 |
+
"eval_roc_auc": 0.8595147784088812,
|
| 440 |
+
"eval_runtime": 705.8388,
|
| 441 |
+
"eval_samples_per_second": 4.128,
|
| 442 |
+
"eval_steps_per_second": 0.13,
|
| 443 |
+
"learning_rate": 0.001,
|
| 444 |
+
"step": 7317
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 27.68,
|
| 448 |
+
"learning_rate": 0.001,
|
| 449 |
+
"loss": 0.1508,
|
| 450 |
+
"step": 7500
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 28.0,
|
| 454 |
+
"eval_accuracy": 0.2735072065888813,
|
| 455 |
+
"eval_f1_macro": 0.652320369204269,
|
| 456 |
+
"eval_f1_micro": 0.7932826525791349,
|
| 457 |
+
"eval_loss": 0.13527436554431915,
|
| 458 |
+
"eval_roc_auc": 0.8584141813020159,
|
| 459 |
+
"eval_runtime": 689.3753,
|
| 460 |
+
"eval_samples_per_second": 4.227,
|
| 461 |
+
"eval_steps_per_second": 0.133,
|
| 462 |
+
"learning_rate": 0.001,
|
| 463 |
+
"step": 7588
|
| 464 |
+
},
|
| 465 |
+
{
|
| 466 |
+
"epoch": 29.0,
|
| 467 |
+
"eval_accuracy": 0.27762525737817434,
|
| 468 |
+
"eval_f1_macro": 0.652221916857101,
|
| 469 |
+
"eval_f1_micro": 0.7959942533592496,
|
| 470 |
+
"eval_loss": 0.1361834853887558,
|
| 471 |
+
"eval_roc_auc": 0.864468679187198,
|
| 472 |
+
"eval_runtime": 711.9932,
|
| 473 |
+
"eval_samples_per_second": 4.093,
|
| 474 |
+
"eval_steps_per_second": 0.129,
|
| 475 |
+
"learning_rate": 0.001,
|
| 476 |
+
"step": 7859
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 29.52,
|
| 480 |
+
"learning_rate": 0.001,
|
| 481 |
+
"loss": 0.1506,
|
| 482 |
+
"step": 8000
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 30.0,
|
| 486 |
+
"eval_accuracy": 0.25051475634866166,
|
| 487 |
+
"eval_f1_macro": 0.6283472874420969,
|
| 488 |
+
"eval_f1_micro": 0.784903397164032,
|
| 489 |
+
"eval_loss": 0.13839198648929596,
|
| 490 |
+
"eval_roc_auc": 0.8546034947804995,
|
| 491 |
+
"eval_runtime": 711.3244,
|
| 492 |
+
"eval_samples_per_second": 4.097,
|
| 493 |
+
"eval_steps_per_second": 0.129,
|
| 494 |
+
"learning_rate": 0.001,
|
| 495 |
+
"step": 8130
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 31.0,
|
| 499 |
+
"eval_accuracy": 0.2717913520933425,
|
| 500 |
+
"eval_f1_macro": 0.6629936811365008,
|
| 501 |
+
"eval_f1_micro": 0.7963528413910094,
|
| 502 |
+
"eval_loss": 0.13423041999340057,
|
| 503 |
+
"eval_roc_auc": 0.8636329317556207,
|
| 504 |
+
"eval_runtime": 717.6936,
|
| 505 |
+
"eval_samples_per_second": 4.06,
|
| 506 |
+
"eval_steps_per_second": 0.128,
|
| 507 |
+
"learning_rate": 0.001,
|
| 508 |
+
"step": 8401
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 31.37,
|
| 512 |
+
"learning_rate": 0.001,
|
| 513 |
+
"loss": 0.151,
|
| 514 |
+
"step": 8500
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 32.0,
|
| 518 |
+
"eval_accuracy": 0.2717913520933425,
|
| 519 |
+
"eval_f1_macro": 0.655637689548565,
|
| 520 |
+
"eval_f1_micro": 0.7967574308875494,
|
| 521 |
+
"eval_loss": 0.13658006489276886,
|
| 522 |
+
"eval_roc_auc": 0.8695589279972756,
|
| 523 |
+
"eval_runtime": 709.164,
|
| 524 |
+
"eval_samples_per_second": 4.109,
|
| 525 |
+
"eval_steps_per_second": 0.13,
|
| 526 |
+
"learning_rate": 0.001,
|
| 527 |
+
"step": 8672
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 33.0,
|
| 531 |
+
"eval_accuracy": 0.2824296499656829,
|
| 532 |
+
"eval_f1_macro": 0.6635088812977026,
|
| 533 |
+
"eval_f1_micro": 0.7984512261126608,
|
| 534 |
+
"eval_loss": 0.13591675460338593,
|
| 535 |
+
"eval_roc_auc": 0.8700680281449957,
|
| 536 |
+
"eval_runtime": 711.6984,
|
| 537 |
+
"eval_samples_per_second": 4.094,
|
| 538 |
+
"eval_steps_per_second": 0.129,
|
| 539 |
+
"learning_rate": 0.001,
|
| 540 |
+
"step": 8943
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 33.21,
|
| 544 |
+
"learning_rate": 0.001,
|
| 545 |
+
"loss": 0.1507,
|
| 546 |
+
"step": 9000
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 34.0,
|
| 550 |
+
"eval_accuracy": 0.28140013726835966,
|
| 551 |
+
"eval_f1_macro": 0.640009703489063,
|
| 552 |
+
"eval_f1_micro": 0.7998982533491605,
|
| 553 |
+
"eval_loss": 0.13349105417728424,
|
| 554 |
+
"eval_roc_auc": 0.8656642978283616,
|
| 555 |
+
"eval_runtime": 702.7082,
|
| 556 |
+
"eval_samples_per_second": 4.147,
|
| 557 |
+
"eval_steps_per_second": 0.131,
|
| 558 |
+
"learning_rate": 0.001,
|
| 559 |
+
"step": 9214
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 35.0,
|
| 563 |
+
"eval_accuracy": 0.272477693891558,
|
| 564 |
+
"eval_f1_macro": 0.6519975762807232,
|
| 565 |
+
"eval_f1_micro": 0.7962736584748978,
|
| 566 |
+
"eval_loss": 0.13431623578071594,
|
| 567 |
+
"eval_roc_auc": 0.8653056916528975,
|
| 568 |
+
"eval_runtime": 695.9796,
|
| 569 |
+
"eval_samples_per_second": 4.187,
|
| 570 |
+
"eval_steps_per_second": 0.132,
|
| 571 |
+
"learning_rate": 0.001,
|
| 572 |
+
"step": 9485
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 35.06,
|
| 576 |
+
"learning_rate": 0.001,
|
| 577 |
+
"loss": 0.1495,
|
| 578 |
+
"step": 9500
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 36.0,
|
| 582 |
+
"eval_accuracy": 0.26355525051475637,
|
| 583 |
+
"eval_f1_macro": 0.6451443559854592,
|
| 584 |
+
"eval_f1_micro": 0.7924289154590393,
|
| 585 |
+
"eval_loss": 0.14291881024837494,
|
| 586 |
+
"eval_roc_auc": 0.8625517456725394,
|
| 587 |
+
"eval_runtime": 695.1357,
|
| 588 |
+
"eval_samples_per_second": 4.192,
|
| 589 |
+
"eval_steps_per_second": 0.132,
|
| 590 |
+
"learning_rate": 0.001,
|
| 591 |
+
"step": 9756
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 36.9,
|
| 595 |
+
"learning_rate": 0.001,
|
| 596 |
+
"loss": 0.1496,
|
| 597 |
+
"step": 10000
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 37.0,
|
| 601 |
+
"eval_accuracy": 0.2731640356897735,
|
| 602 |
+
"eval_f1_macro": 0.653137873575441,
|
| 603 |
+
"eval_f1_micro": 0.7981288539230278,
|
| 604 |
+
"eval_loss": 0.13305164873600006,
|
| 605 |
+
"eval_roc_auc": 0.8638193078136003,
|
| 606 |
+
"eval_runtime": 697.8225,
|
| 607 |
+
"eval_samples_per_second": 4.176,
|
| 608 |
+
"eval_steps_per_second": 0.132,
|
| 609 |
+
"learning_rate": 0.001,
|
| 610 |
+
"step": 10027
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"epoch": 38.0,
|
| 614 |
+
"eval_accuracy": 0.26835964310226496,
|
| 615 |
+
"eval_f1_macro": 0.6306015382070221,
|
| 616 |
+
"eval_f1_micro": 0.7938126806051335,
|
| 617 |
+
"eval_loss": 0.13497667014598846,
|
| 618 |
+
"eval_roc_auc": 0.8616735348011272,
|
| 619 |
+
"eval_runtime": 691.2148,
|
| 620 |
+
"eval_samples_per_second": 4.216,
|
| 621 |
+
"eval_steps_per_second": 0.133,
|
| 622 |
+
"learning_rate": 0.001,
|
| 623 |
+
"step": 10298
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 38.75,
|
| 627 |
+
"learning_rate": 0.001,
|
| 628 |
+
"loss": 0.1503,
|
| 629 |
+
"step": 10500
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 39.0,
|
| 633 |
+
"eval_accuracy": 0.2800274536719286,
|
| 634 |
+
"eval_f1_macro": 0.6464711728800093,
|
| 635 |
+
"eval_f1_micro": 0.7983622472668946,
|
| 636 |
+
"eval_loss": 0.1351996511220932,
|
| 637 |
+
"eval_roc_auc": 0.866066786187883,
|
| 638 |
+
"eval_runtime": 704.3219,
|
| 639 |
+
"eval_samples_per_second": 4.137,
|
| 640 |
+
"eval_steps_per_second": 0.131,
|
| 641 |
+
"learning_rate": 0.001,
|
| 642 |
+
"step": 10569
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 40.0,
|
| 646 |
+
"eval_accuracy": 0.27282086479066575,
|
| 647 |
+
"eval_f1_macro": 0.6271011637782951,
|
| 648 |
+
"eval_f1_micro": 0.792462504807076,
|
| 649 |
+
"eval_loss": 0.13469766080379486,
|
| 650 |
+
"eval_roc_auc": 0.8594016621216213,
|
| 651 |
+
"eval_runtime": 698.796,
|
| 652 |
+
"eval_samples_per_second": 4.17,
|
| 653 |
+
"eval_steps_per_second": 0.132,
|
| 654 |
+
"learning_rate": 0.001,
|
| 655 |
+
"step": 10840
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 40.59,
|
| 659 |
+
"learning_rate": 0.001,
|
| 660 |
+
"loss": 0.1505,
|
| 661 |
+
"step": 11000
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 41.0,
|
| 665 |
+
"eval_accuracy": 0.2721345229924502,
|
| 666 |
+
"eval_f1_macro": 0.6600650686410704,
|
| 667 |
+
"eval_f1_micro": 0.7934581450398106,
|
| 668 |
+
"eval_loss": 0.13396936655044556,
|
| 669 |
+
"eval_roc_auc": 0.8579358774851804,
|
| 670 |
+
"eval_runtime": 697.9239,
|
| 671 |
+
"eval_samples_per_second": 4.175,
|
| 672 |
+
"eval_steps_per_second": 0.132,
|
| 673 |
+
"learning_rate": 0.001,
|
| 674 |
+
"step": 11111
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 42.0,
|
| 678 |
+
"eval_accuracy": 0.27110501029512696,
|
| 679 |
+
"eval_f1_macro": 0.6636104085895331,
|
| 680 |
+
"eval_f1_micro": 0.7982560108364375,
|
| 681 |
+
"eval_loss": 0.13215309381484985,
|
| 682 |
+
"eval_roc_auc": 0.8652014818411935,
|
| 683 |
+
"eval_runtime": 682.8814,
|
| 684 |
+
"eval_samples_per_second": 4.267,
|
| 685 |
+
"eval_steps_per_second": 0.135,
|
| 686 |
+
"learning_rate": 0.001,
|
| 687 |
+
"step": 11382
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 42.44,
|
| 691 |
+
"learning_rate": 0.001,
|
| 692 |
+
"loss": 0.1491,
|
| 693 |
+
"step": 11500
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 43.0,
|
| 697 |
+
"eval_accuracy": 0.2735072065888813,
|
| 698 |
+
"eval_f1_macro": 0.6493239813433992,
|
| 699 |
+
"eval_f1_micro": 0.7948717948717948,
|
| 700 |
+
"eval_loss": 0.13603103160858154,
|
| 701 |
+
"eval_roc_auc": 0.8634709756212143,
|
| 702 |
+
"eval_runtime": 691.0843,
|
| 703 |
+
"eval_samples_per_second": 4.217,
|
| 704 |
+
"eval_steps_per_second": 0.133,
|
| 705 |
+
"learning_rate": 0.001,
|
| 706 |
+
"step": 11653
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 44.0,
|
| 710 |
+
"eval_accuracy": 0.28140013726835966,
|
| 711 |
+
"eval_f1_macro": 0.6400431467798345,
|
| 712 |
+
"eval_f1_micro": 0.7955270207066627,
|
| 713 |
+
"eval_loss": 0.13608315587043762,
|
| 714 |
+
"eval_roc_auc": 0.8624513565815523,
|
| 715 |
+
"eval_runtime": 684.569,
|
| 716 |
+
"eval_samples_per_second": 4.257,
|
| 717 |
+
"eval_steps_per_second": 0.134,
|
| 718 |
+
"learning_rate": 0.001,
|
| 719 |
+
"step": 11924
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 44.28,
|
| 723 |
+
"learning_rate": 0.001,
|
| 724 |
+
"loss": 0.1507,
|
| 725 |
+
"step": 12000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 45.0,
|
| 729 |
+
"eval_accuracy": 0.28140013726835966,
|
| 730 |
+
"eval_f1_macro": 0.6424034446314527,
|
| 731 |
+
"eval_f1_micro": 0.7970817780794026,
|
| 732 |
+
"eval_loss": 0.13283775746822357,
|
| 733 |
+
"eval_roc_auc": 0.863982631455529,
|
| 734 |
+
"eval_runtime": 683.5579,
|
| 735 |
+
"eval_samples_per_second": 4.263,
|
| 736 |
+
"eval_steps_per_second": 0.135,
|
| 737 |
+
"learning_rate": 0.001,
|
| 738 |
+
"step": 12195
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 46.0,
|
| 742 |
+
"eval_accuracy": 0.2786547700754976,
|
| 743 |
+
"eval_f1_macro": 0.6468829157126516,
|
| 744 |
+
"eval_f1_micro": 0.7938707872422847,
|
| 745 |
+
"eval_loss": 0.13275618851184845,
|
| 746 |
+
"eval_roc_auc": 0.8581338694154104,
|
| 747 |
+
"eval_runtime": 680.6581,
|
| 748 |
+
"eval_samples_per_second": 4.281,
|
| 749 |
+
"eval_steps_per_second": 0.135,
|
| 750 |
+
"learning_rate": 0.001,
|
| 751 |
+
"step": 12466
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 46.13,
|
| 755 |
+
"learning_rate": 0.001,
|
| 756 |
+
"loss": 0.1495,
|
| 757 |
+
"step": 12500
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 47.0,
|
| 761 |
+
"eval_accuracy": 0.27522306108442,
|
| 762 |
+
"eval_f1_macro": 0.6351226382655659,
|
| 763 |
+
"eval_f1_micro": 0.7977320453590928,
|
| 764 |
+
"eval_loss": 0.133217915892601,
|
| 765 |
+
"eval_roc_auc": 0.8671532629726034,
|
| 766 |
+
"eval_runtime": 679.0852,
|
| 767 |
+
"eval_samples_per_second": 4.291,
|
| 768 |
+
"eval_steps_per_second": 0.135,
|
| 769 |
+
"learning_rate": 0.001,
|
| 770 |
+
"step": 12737
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 47.97,
|
| 774 |
+
"learning_rate": 0.001,
|
| 775 |
+
"loss": 0.1498,
|
| 776 |
+
"step": 13000
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 48.0,
|
| 780 |
+
"eval_accuracy": 0.2817433081674674,
|
| 781 |
+
"eval_f1_macro": 0.6490013214958164,
|
| 782 |
+
"eval_f1_micro": 0.8012753282711751,
|
| 783 |
+
"eval_loss": 0.1325378566980362,
|
| 784 |
+
"eval_roc_auc": 0.8694327770935429,
|
| 785 |
+
"eval_runtime": 680.9219,
|
| 786 |
+
"eval_samples_per_second": 4.279,
|
| 787 |
+
"eval_steps_per_second": 0.135,
|
| 788 |
+
"learning_rate": 0.001,
|
| 789 |
+
"step": 13008
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 49.0,
|
| 793 |
+
"eval_accuracy": 0.2882635552505148,
|
| 794 |
+
"eval_f1_macro": 0.6738484837965685,
|
| 795 |
+
"eval_f1_micro": 0.8061649892618015,
|
| 796 |
+
"eval_loss": 0.12826864421367645,
|
| 797 |
+
"eval_roc_auc": 0.8710295165867058,
|
| 798 |
+
"eval_runtime": 681.5467,
|
| 799 |
+
"eval_samples_per_second": 4.276,
|
| 800 |
+
"eval_steps_per_second": 0.135,
|
| 801 |
+
"learning_rate": 0.0001,
|
| 802 |
+
"step": 13279
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 49.82,
|
| 806 |
+
"learning_rate": 0.0001,
|
| 807 |
+
"loss": 0.1416,
|
| 808 |
+
"step": 13500
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 50.0,
|
| 812 |
+
"eval_accuracy": 0.2872340425531915,
|
| 813 |
+
"eval_f1_macro": 0.6734470768849717,
|
| 814 |
+
"eval_f1_micro": 0.8086902026321288,
|
| 815 |
+
"eval_loss": 0.12865300476551056,
|
| 816 |
+
"eval_roc_auc": 0.8747272405310621,
|
| 817 |
+
"eval_runtime": 680.1838,
|
| 818 |
+
"eval_samples_per_second": 4.284,
|
| 819 |
+
"eval_steps_per_second": 0.135,
|
| 820 |
+
"learning_rate": 0.0001,
|
| 821 |
+
"step": 13550
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 51.0,
|
| 825 |
+
"eval_accuracy": 0.2899794097460535,
|
| 826 |
+
"eval_f1_macro": 0.6713719689925478,
|
| 827 |
+
"eval_f1_micro": 0.8067049484884311,
|
| 828 |
+
"eval_loss": 0.12803621590137482,
|
| 829 |
+
"eval_roc_auc": 0.870555059108937,
|
| 830 |
+
"eval_runtime": 682.2484,
|
| 831 |
+
"eval_samples_per_second": 4.271,
|
| 832 |
+
"eval_steps_per_second": 0.135,
|
| 833 |
+
"learning_rate": 0.0001,
|
| 834 |
+
"step": 13821
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 51.66,
|
| 838 |
+
"learning_rate": 0.0001,
|
| 839 |
+
"loss": 0.1387,
|
| 840 |
+
"step": 14000
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 52.0,
|
| 844 |
+
"eval_accuracy": 0.2899794097460535,
|
| 845 |
+
"eval_f1_macro": 0.6744045610607882,
|
| 846 |
+
"eval_f1_micro": 0.8067475584492453,
|
| 847 |
+
"eval_loss": 0.12618477642536163,
|
| 848 |
+
"eval_roc_auc": 0.8701989061466676,
|
| 849 |
+
"eval_runtime": 687.4248,
|
| 850 |
+
"eval_samples_per_second": 4.239,
|
| 851 |
+
"eval_steps_per_second": 0.134,
|
| 852 |
+
"learning_rate": 0.0001,
|
| 853 |
+
"step": 14092
|
| 854 |
+
},
|
| 855 |
+
{
|
| 856 |
+
"epoch": 53.0,
|
| 857 |
+
"eval_accuracy": 0.2910089224433768,
|
| 858 |
+
"eval_f1_macro": 0.6763777606257594,
|
| 859 |
+
"eval_f1_micro": 0.8094476254631189,
|
| 860 |
+
"eval_loss": 0.1262361854314804,
|
| 861 |
+
"eval_roc_auc": 0.8728950289492735,
|
| 862 |
+
"eval_runtime": 697.5202,
|
| 863 |
+
"eval_samples_per_second": 4.178,
|
| 864 |
+
"eval_steps_per_second": 0.132,
|
| 865 |
+
"learning_rate": 0.0001,
|
| 866 |
+
"step": 14363
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 53.51,
|
| 870 |
+
"learning_rate": 0.0001,
|
| 871 |
+
"loss": 0.1356,
|
| 872 |
+
"step": 14500
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 54.0,
|
| 876 |
+
"eval_accuracy": 0.2947838023335621,
|
| 877 |
+
"eval_f1_macro": 0.6743662487872923,
|
| 878 |
+
"eval_f1_micro": 0.809105193867584,
|
| 879 |
+
"eval_loss": 0.12573254108428955,
|
| 880 |
+
"eval_roc_auc": 0.8701859740035948,
|
| 881 |
+
"eval_runtime": 693.4876,
|
| 882 |
+
"eval_samples_per_second": 4.202,
|
| 883 |
+
"eval_steps_per_second": 0.133,
|
| 884 |
+
"learning_rate": 0.0001,
|
| 885 |
+
"step": 14634
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 55.0,
|
| 889 |
+
"eval_accuracy": 0.2947838023335621,
|
| 890 |
+
"eval_f1_macro": 0.681373956781595,
|
| 891 |
+
"eval_f1_micro": 0.8106019238039233,
|
| 892 |
+
"eval_loss": 0.12566907703876495,
|
| 893 |
+
"eval_roc_auc": 0.8742077383085138,
|
| 894 |
+
"eval_runtime": 700.1378,
|
| 895 |
+
"eval_samples_per_second": 4.162,
|
| 896 |
+
"eval_steps_per_second": 0.131,
|
| 897 |
+
"learning_rate": 0.0001,
|
| 898 |
+
"step": 14905
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 55.35,
|
| 902 |
+
"learning_rate": 0.0001,
|
| 903 |
+
"loss": 0.1348,
|
| 904 |
+
"step": 15000
|
| 905 |
+
},
|
| 906 |
+
{
|
| 907 |
+
"epoch": 56.0,
|
| 908 |
+
"eval_accuracy": 0.3009608785175017,
|
| 909 |
+
"eval_f1_macro": 0.6772158941721765,
|
| 910 |
+
"eval_f1_micro": 0.8107721439091101,
|
| 911 |
+
"eval_loss": 0.12600058317184448,
|
| 912 |
+
"eval_roc_auc": 0.873783436948714,
|
| 913 |
+
"eval_runtime": 679.772,
|
| 914 |
+
"eval_samples_per_second": 4.287,
|
| 915 |
+
"eval_steps_per_second": 0.135,
|
| 916 |
+
"learning_rate": 0.0001,
|
| 917 |
+
"step": 15176
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 57.0,
|
| 921 |
+
"eval_accuracy": 0.29855868222374743,
|
| 922 |
+
"eval_f1_macro": 0.6806264224832896,
|
| 923 |
+
"eval_f1_micro": 0.8128972900635664,
|
| 924 |
+
"eval_loss": 0.12499917298555374,
|
| 925 |
+
"eval_roc_auc": 0.8767727269259479,
|
| 926 |
+
"eval_runtime": 685.6404,
|
| 927 |
+
"eval_samples_per_second": 4.25,
|
| 928 |
+
"eval_steps_per_second": 0.134,
|
| 929 |
+
"learning_rate": 0.0001,
|
| 930 |
+
"step": 15447
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 57.2,
|
| 934 |
+
"learning_rate": 0.0001,
|
| 935 |
+
"loss": 0.135,
|
| 936 |
+
"step": 15500
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 58.0,
|
| 940 |
+
"eval_accuracy": 0.3081674673987646,
|
| 941 |
+
"eval_f1_macro": 0.6858667117679004,
|
| 942 |
+
"eval_f1_micro": 0.8141957160856784,
|
| 943 |
+
"eval_loss": 0.12423347681760788,
|
| 944 |
+
"eval_roc_auc": 0.8762249584407599,
|
| 945 |
+
"eval_runtime": 700.338,
|
| 946 |
+
"eval_samples_per_second": 4.161,
|
| 947 |
+
"eval_steps_per_second": 0.131,
|
| 948 |
+
"learning_rate": 0.0001,
|
| 949 |
+
"step": 15718
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 59.0,
|
| 953 |
+
"eval_accuracy": 0.3026767330130405,
|
| 954 |
+
"eval_f1_macro": 0.6869701850967913,
|
| 955 |
+
"eval_f1_micro": 0.8124398308986648,
|
| 956 |
+
"eval_loss": 0.12452811747789383,
|
| 957 |
+
"eval_roc_auc": 0.8762597292024611,
|
| 958 |
+
"eval_runtime": 691.5065,
|
| 959 |
+
"eval_samples_per_second": 4.214,
|
| 960 |
+
"eval_steps_per_second": 0.133,
|
| 961 |
+
"learning_rate": 0.0001,
|
| 962 |
+
"step": 15989
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 59.04,
|
| 966 |
+
"learning_rate": 0.0001,
|
| 967 |
+
"loss": 0.1334,
|
| 968 |
+
"step": 16000
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 60.0,
|
| 972 |
+
"eval_accuracy": 0.3030199039121482,
|
| 973 |
+
"eval_f1_macro": 0.6853545892350839,
|
| 974 |
+
"eval_f1_micro": 0.8137861803580391,
|
| 975 |
+
"eval_loss": 0.1242317408323288,
|
| 976 |
+
"eval_roc_auc": 0.8772149949469599,
|
| 977 |
+
"eval_runtime": 700.2391,
|
| 978 |
+
"eval_samples_per_second": 4.161,
|
| 979 |
+
"eval_steps_per_second": 0.131,
|
| 980 |
+
"learning_rate": 0.0001,
|
| 981 |
+
"step": 16260
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 60.89,
|
| 985 |
+
"learning_rate": 0.0001,
|
| 986 |
+
"loss": 0.1335,
|
| 987 |
+
"step": 16500
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 61.0,
|
| 991 |
+
"eval_accuracy": 0.3064516129032258,
|
| 992 |
+
"eval_f1_macro": 0.6889451502143565,
|
| 993 |
+
"eval_f1_micro": 0.8139671855279764,
|
| 994 |
+
"eval_loss": 0.12397264689207077,
|
| 995 |
+
"eval_roc_auc": 0.8756026651507299,
|
| 996 |
+
"eval_runtime": 691.2006,
|
| 997 |
+
"eval_samples_per_second": 4.216,
|
| 998 |
+
"eval_steps_per_second": 0.133,
|
| 999 |
+
"learning_rate": 0.0001,
|
| 1000 |
+
"step": 16531
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"epoch": 62.0,
|
| 1004 |
+
"eval_accuracy": 0.3016472203157172,
|
| 1005 |
+
"eval_f1_macro": 0.6808873228168837,
|
| 1006 |
+
"eval_f1_micro": 0.8152336604024614,
|
| 1007 |
+
"eval_loss": 0.12486530840396881,
|
| 1008 |
+
"eval_roc_auc": 0.8798070104112615,
|
| 1009 |
+
"eval_runtime": 696.5149,
|
| 1010 |
+
"eval_samples_per_second": 4.184,
|
| 1011 |
+
"eval_steps_per_second": 0.132,
|
| 1012 |
+
"learning_rate": 0.0001,
|
| 1013 |
+
"step": 16802
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 62.73,
|
| 1017 |
+
"learning_rate": 0.0001,
|
| 1018 |
+
"loss": 0.1308,
|
| 1019 |
+
"step": 17000
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 63.0,
|
| 1023 |
+
"eval_accuracy": 0.30679478380233355,
|
| 1024 |
+
"eval_f1_macro": 0.6848490082628171,
|
| 1025 |
+
"eval_f1_micro": 0.814602720114531,
|
| 1026 |
+
"eval_loss": 0.1233312338590622,
|
| 1027 |
+
"eval_roc_auc": 0.8756913615144166,
|
| 1028 |
+
"eval_runtime": 687.8446,
|
| 1029 |
+
"eval_samples_per_second": 4.236,
|
| 1030 |
+
"eval_steps_per_second": 0.134,
|
| 1031 |
+
"learning_rate": 0.0001,
|
| 1032 |
+
"step": 17073
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 64.0,
|
| 1036 |
+
"eval_accuracy": 0.3057652711050103,
|
| 1037 |
+
"eval_f1_macro": 0.6908433037124228,
|
| 1038 |
+
"eval_f1_micro": 0.8151443922095367,
|
| 1039 |
+
"eval_loss": 0.12344498932361603,
|
| 1040 |
+
"eval_roc_auc": 0.8769218021539817,
|
| 1041 |
+
"eval_runtime": 702.1676,
|
| 1042 |
+
"eval_samples_per_second": 4.15,
|
| 1043 |
+
"eval_steps_per_second": 0.131,
|
| 1044 |
+
"learning_rate": 0.0001,
|
| 1045 |
+
"step": 17344
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 64.58,
|
| 1049 |
+
"learning_rate": 0.0001,
|
| 1050 |
+
"loss": 0.1326,
|
| 1051 |
+
"step": 17500
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"epoch": 65.0,
|
| 1055 |
+
"eval_accuracy": 0.303363074811256,
|
| 1056 |
+
"eval_f1_macro": 0.6812168886607934,
|
| 1057 |
+
"eval_f1_micro": 0.8124392614188533,
|
| 1058 |
+
"eval_loss": 0.12330327183008194,
|
| 1059 |
+
"eval_roc_auc": 0.8734876628507912,
|
| 1060 |
+
"eval_runtime": 680.7902,
|
| 1061 |
+
"eval_samples_per_second": 4.28,
|
| 1062 |
+
"eval_steps_per_second": 0.135,
|
| 1063 |
+
"learning_rate": 0.0001,
|
| 1064 |
+
"step": 17615
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 66.0,
|
| 1068 |
+
"eval_accuracy": 0.3026767330130405,
|
| 1069 |
+
"eval_f1_macro": 0.6878311502092693,
|
| 1070 |
+
"eval_f1_micro": 0.8144785071642787,
|
| 1071 |
+
"eval_loss": 0.12320297956466675,
|
| 1072 |
+
"eval_roc_auc": 0.8788401544128625,
|
| 1073 |
+
"eval_runtime": 690.4713,
|
| 1074 |
+
"eval_samples_per_second": 4.22,
|
| 1075 |
+
"eval_steps_per_second": 0.133,
|
| 1076 |
+
"learning_rate": 0.0001,
|
| 1077 |
+
"step": 17886
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 66.42,
|
| 1081 |
+
"learning_rate": 0.0001,
|
| 1082 |
+
"loss": 0.1306,
|
| 1083 |
+
"step": 18000
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 67.0,
|
| 1087 |
+
"eval_accuracy": 0.3074811256005491,
|
| 1088 |
+
"eval_f1_macro": 0.6857441975499322,
|
| 1089 |
+
"eval_f1_micro": 0.8115152031343156,
|
| 1090 |
+
"eval_loss": 0.1227714866399765,
|
| 1091 |
+
"eval_roc_auc": 0.8706963391854371,
|
| 1092 |
+
"eval_runtime": 709.7385,
|
| 1093 |
+
"eval_samples_per_second": 4.106,
|
| 1094 |
+
"eval_steps_per_second": 0.13,
|
| 1095 |
+
"learning_rate": 0.0001,
|
| 1096 |
+
"step": 18157
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 68.0,
|
| 1100 |
+
"eval_accuracy": 0.3074811256005491,
|
| 1101 |
+
"eval_f1_macro": 0.6913054019394733,
|
| 1102 |
+
"eval_f1_micro": 0.8153315962007229,
|
| 1103 |
+
"eval_loss": 0.12259615212678909,
|
| 1104 |
+
"eval_roc_auc": 0.8766517898688044,
|
| 1105 |
+
"eval_runtime": 686.725,
|
| 1106 |
+
"eval_samples_per_second": 4.243,
|
| 1107 |
+
"eval_steps_per_second": 0.134,
|
| 1108 |
+
"learning_rate": 0.0001,
|
| 1109 |
+
"step": 18428
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 68.27,
|
| 1113 |
+
"learning_rate": 0.0001,
|
| 1114 |
+
"loss": 0.1299,
|
| 1115 |
+
"step": 18500
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 69.0,
|
| 1119 |
+
"eval_accuracy": 0.30851063829787234,
|
| 1120 |
+
"eval_f1_macro": 0.676353464691654,
|
| 1121 |
+
"eval_f1_micro": 0.8143055965585593,
|
| 1122 |
+
"eval_loss": 0.12271784245967865,
|
| 1123 |
+
"eval_roc_auc": 0.8750562129363642,
|
| 1124 |
+
"eval_runtime": 693.9986,
|
| 1125 |
+
"eval_samples_per_second": 4.199,
|
| 1126 |
+
"eval_steps_per_second": 0.133,
|
| 1127 |
+
"learning_rate": 0.0001,
|
| 1128 |
+
"step": 18699
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 70.0,
|
| 1132 |
+
"eval_accuracy": 0.31056966369251887,
|
| 1133 |
+
"eval_f1_macro": 0.6999234521712909,
|
| 1134 |
+
"eval_f1_micro": 0.81868109179502,
|
| 1135 |
+
"eval_loss": 0.12295936793088913,
|
| 1136 |
+
"eval_roc_auc": 0.8837914226495347,
|
| 1137 |
+
"eval_runtime": 690.298,
|
| 1138 |
+
"eval_samples_per_second": 4.221,
|
| 1139 |
+
"eval_steps_per_second": 0.133,
|
| 1140 |
+
"learning_rate": 0.0001,
|
| 1141 |
+
"step": 18970
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 70.11,
|
| 1145 |
+
"learning_rate": 0.0001,
|
| 1146 |
+
"loss": 0.1295,
|
| 1147 |
+
"step": 19000
|
| 1148 |
+
},
|
| 1149 |
+
{
|
| 1150 |
+
"epoch": 71.0,
|
| 1151 |
+
"eval_accuracy": 0.30679478380233355,
|
| 1152 |
+
"eval_f1_macro": 0.6893382907323766,
|
| 1153 |
+
"eval_f1_micro": 0.8152834008097165,
|
| 1154 |
+
"eval_loss": 0.12247700244188309,
|
| 1155 |
+
"eval_roc_auc": 0.8756051952189744,
|
| 1156 |
+
"eval_runtime": 708.7396,
|
| 1157 |
+
"eval_samples_per_second": 4.112,
|
| 1158 |
+
"eval_steps_per_second": 0.13,
|
| 1159 |
+
"learning_rate": 0.0001,
|
| 1160 |
+
"step": 19241
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 71.96,
|
| 1164 |
+
"learning_rate": 0.0001,
|
| 1165 |
+
"loss": 0.1289,
|
| 1166 |
+
"step": 19500
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 72.0,
|
| 1170 |
+
"eval_accuracy": 0.30370624571036375,
|
| 1171 |
+
"eval_f1_macro": 0.6867583154614194,
|
| 1172 |
+
"eval_f1_micro": 0.815056734916049,
|
| 1173 |
+
"eval_loss": 0.12231950461864471,
|
| 1174 |
+
"eval_roc_auc": 0.877607106850003,
|
| 1175 |
+
"eval_runtime": 677.1006,
|
| 1176 |
+
"eval_samples_per_second": 4.304,
|
| 1177 |
+
"eval_steps_per_second": 0.136,
|
| 1178 |
+
"learning_rate": 0.0001,
|
| 1179 |
+
"step": 19512
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 73.0,
|
| 1183 |
+
"eval_accuracy": 0.30542210020590255,
|
| 1184 |
+
"eval_f1_macro": 0.6917904729736315,
|
| 1185 |
+
"eval_f1_micro": 0.8165095327886026,
|
| 1186 |
+
"eval_loss": 0.12229206413030624,
|
| 1187 |
+
"eval_roc_auc": 0.8781856460477259,
|
| 1188 |
+
"eval_runtime": 692.4475,
|
| 1189 |
+
"eval_samples_per_second": 4.208,
|
| 1190 |
+
"eval_steps_per_second": 0.133,
|
| 1191 |
+
"learning_rate": 0.0001,
|
| 1192 |
+
"step": 19783
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 73.8,
|
| 1196 |
+
"learning_rate": 0.0001,
|
| 1197 |
+
"loss": 0.1279,
|
| 1198 |
+
"step": 20000
|
| 1199 |
+
},
|
| 1200 |
+
{
|
| 1201 |
+
"epoch": 74.0,
|
| 1202 |
+
"eval_accuracy": 0.30542210020590255,
|
| 1203 |
+
"eval_f1_macro": 0.6855916835036744,
|
| 1204 |
+
"eval_f1_micro": 0.8142863173892853,
|
| 1205 |
+
"eval_loss": 0.12248736619949341,
|
| 1206 |
+
"eval_roc_auc": 0.8747476347871186,
|
| 1207 |
+
"eval_runtime": 687.0839,
|
| 1208 |
+
"eval_samples_per_second": 4.241,
|
| 1209 |
+
"eval_steps_per_second": 0.134,
|
| 1210 |
+
"learning_rate": 0.0001,
|
| 1211 |
+
"step": 20054
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 75.0,
|
| 1215 |
+
"eval_accuracy": 0.31022649279341113,
|
| 1216 |
+
"eval_f1_macro": 0.6878236573831232,
|
| 1217 |
+
"eval_f1_micro": 0.8167385749591589,
|
| 1218 |
+
"eval_loss": 0.12206920981407166,
|
| 1219 |
+
"eval_roc_auc": 0.8784119298589457,
|
| 1220 |
+
"eval_runtime": 681.8157,
|
| 1221 |
+
"eval_samples_per_second": 4.274,
|
| 1222 |
+
"eval_steps_per_second": 0.135,
|
| 1223 |
+
"learning_rate": 0.0001,
|
| 1224 |
+
"step": 20325
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 75.65,
|
| 1228 |
+
"learning_rate": 0.0001,
|
| 1229 |
+
"loss": 0.1276,
|
| 1230 |
+
"step": 20500
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 76.0,
|
| 1234 |
+
"eval_accuracy": 0.31674673987645846,
|
| 1235 |
+
"eval_f1_macro": 0.6963741846422794,
|
| 1236 |
+
"eval_f1_micro": 0.8190190440471725,
|
| 1237 |
+
"eval_loss": 0.12172180414199829,
|
| 1238 |
+
"eval_roc_auc": 0.8812250665245784,
|
| 1239 |
+
"eval_runtime": 672.3327,
|
| 1240 |
+
"eval_samples_per_second": 4.334,
|
| 1241 |
+
"eval_steps_per_second": 0.137,
|
| 1242 |
+
"learning_rate": 0.0001,
|
| 1243 |
+
"step": 20596
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 77.0,
|
| 1247 |
+
"eval_accuracy": 0.31022649279341113,
|
| 1248 |
+
"eval_f1_macro": 0.6940319651093022,
|
| 1249 |
+
"eval_f1_micro": 0.8179309191268713,
|
| 1250 |
+
"eval_loss": 0.12170004099607468,
|
| 1251 |
+
"eval_roc_auc": 0.8795832054315861,
|
| 1252 |
+
"eval_runtime": 683.2195,
|
| 1253 |
+
"eval_samples_per_second": 4.265,
|
| 1254 |
+
"eval_steps_per_second": 0.135,
|
| 1255 |
+
"learning_rate": 0.0001,
|
| 1256 |
+
"step": 20867
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 77.49,
|
| 1260 |
+
"learning_rate": 0.0001,
|
| 1261 |
+
"loss": 0.1274,
|
| 1262 |
+
"step": 21000
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 78.0,
|
| 1266 |
+
"eval_accuracy": 0.3081674673987646,
|
| 1267 |
+
"eval_f1_macro": 0.6858950802374723,
|
| 1268 |
+
"eval_f1_micro": 0.8143468859965235,
|
| 1269 |
+
"eval_loss": 0.12156965583562851,
|
| 1270 |
+
"eval_roc_auc": 0.8735390327661822,
|
| 1271 |
+
"eval_runtime": 682.8416,
|
| 1272 |
+
"eval_samples_per_second": 4.267,
|
| 1273 |
+
"eval_steps_per_second": 0.135,
|
| 1274 |
+
"learning_rate": 0.0001,
|
| 1275 |
+
"step": 21138
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 79.0,
|
| 1279 |
+
"eval_accuracy": 0.31468771448181193,
|
| 1280 |
+
"eval_f1_macro": 0.6944979922976369,
|
| 1281 |
+
"eval_f1_micro": 0.8164588948787063,
|
| 1282 |
+
"eval_loss": 0.1215372309088707,
|
| 1283 |
+
"eval_roc_auc": 0.8766491829455099,
|
| 1284 |
+
"eval_runtime": 683.544,
|
| 1285 |
+
"eval_samples_per_second": 4.263,
|
| 1286 |
+
"eval_steps_per_second": 0.135,
|
| 1287 |
+
"learning_rate": 0.0001,
|
| 1288 |
+
"step": 21409
|
| 1289 |
+
},
|
| 1290 |
+
{
|
| 1291 |
+
"epoch": 79.34,
|
| 1292 |
+
"learning_rate": 0.0001,
|
| 1293 |
+
"loss": 0.1269,
|
| 1294 |
+
"step": 21500
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 80.0,
|
| 1298 |
+
"eval_accuracy": 0.31468771448181193,
|
| 1299 |
+
"eval_f1_macro": 0.6999268076002686,
|
| 1300 |
+
"eval_f1_micro": 0.8192881937183724,
|
| 1301 |
+
"eval_loss": 0.12135831266641617,
|
| 1302 |
+
"eval_roc_auc": 0.8802967507718976,
|
| 1303 |
+
"eval_runtime": 676.6048,
|
| 1304 |
+
"eval_samples_per_second": 4.307,
|
| 1305 |
+
"eval_steps_per_second": 0.136,
|
| 1306 |
+
"learning_rate": 0.0001,
|
| 1307 |
+
"step": 21680
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 81.0,
|
| 1311 |
+
"eval_accuracy": 0.3112560054907344,
|
| 1312 |
+
"eval_f1_macro": 0.697411996468389,
|
| 1313 |
+
"eval_f1_micro": 0.81943004106691,
|
| 1314 |
+
"eval_loss": 0.12142007052898407,
|
| 1315 |
+
"eval_roc_auc": 0.8828322337109193,
|
| 1316 |
+
"eval_runtime": 681.4379,
|
| 1317 |
+
"eval_samples_per_second": 4.276,
|
| 1318 |
+
"eval_steps_per_second": 0.135,
|
| 1319 |
+
"learning_rate": 0.0001,
|
| 1320 |
+
"step": 21951
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 81.18,
|
| 1324 |
+
"learning_rate": 0.0001,
|
| 1325 |
+
"loss": 0.1259,
|
| 1326 |
+
"step": 22000
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 82.0,
|
| 1330 |
+
"eval_accuracy": 0.31022649279341113,
|
| 1331 |
+
"eval_f1_macro": 0.695644238424867,
|
| 1332 |
+
"eval_f1_micro": 0.817148370317547,
|
| 1333 |
+
"eval_loss": 0.12121300399303436,
|
| 1334 |
+
"eval_roc_auc": 0.8782139123103657,
|
| 1335 |
+
"eval_runtime": 687.8898,
|
| 1336 |
+
"eval_samples_per_second": 4.236,
|
| 1337 |
+
"eval_steps_per_second": 0.134,
|
| 1338 |
+
"learning_rate": 0.0001,
|
| 1339 |
+
"step": 22222
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 83.0,
|
| 1343 |
+
"eval_accuracy": 0.31228551818805766,
|
| 1344 |
+
"eval_f1_macro": 0.6969593372601354,
|
| 1345 |
+
"eval_f1_micro": 0.8189676877885018,
|
| 1346 |
+
"eval_loss": 0.12076255679130554,
|
| 1347 |
+
"eval_roc_auc": 0.8791048759964009,
|
| 1348 |
+
"eval_runtime": 683.6587,
|
| 1349 |
+
"eval_samples_per_second": 4.262,
|
| 1350 |
+
"eval_steps_per_second": 0.135,
|
| 1351 |
+
"learning_rate": 0.0001,
|
| 1352 |
+
"step": 22493
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 83.03,
|
| 1356 |
+
"learning_rate": 0.0001,
|
| 1357 |
+
"loss": 0.1258,
|
| 1358 |
+
"step": 22500
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 84.0,
|
| 1362 |
+
"eval_accuracy": 0.31537405628002746,
|
| 1363 |
+
"eval_f1_macro": 0.699678101503351,
|
| 1364 |
+
"eval_f1_micro": 0.8203842940685045,
|
| 1365 |
+
"eval_loss": 0.12093241512775421,
|
| 1366 |
+
"eval_roc_auc": 0.8812674531093634,
|
| 1367 |
+
"eval_runtime": 674.7538,
|
| 1368 |
+
"eval_samples_per_second": 4.319,
|
| 1369 |
+
"eval_steps_per_second": 0.136,
|
| 1370 |
+
"learning_rate": 0.0001,
|
| 1371 |
+
"step": 22764
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 84.87,
|
| 1375 |
+
"learning_rate": 0.0001,
|
| 1376 |
+
"loss": 0.1251,
|
| 1377 |
+
"step": 23000
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 85.0,
|
| 1381 |
+
"eval_accuracy": 0.3064516129032258,
|
| 1382 |
+
"eval_f1_macro": 0.6934546509096284,
|
| 1383 |
+
"eval_f1_micro": 0.8163317114448911,
|
| 1384 |
+
"eval_loss": 0.12106911092996597,
|
| 1385 |
+
"eval_roc_auc": 0.875220724757365,
|
| 1386 |
+
"eval_runtime": 682.5674,
|
| 1387 |
+
"eval_samples_per_second": 4.269,
|
| 1388 |
+
"eval_steps_per_second": 0.135,
|
| 1389 |
+
"learning_rate": 0.0001,
|
| 1390 |
+
"step": 23035
|
| 1391 |
+
},
|
| 1392 |
+
{
|
| 1393 |
+
"epoch": 86.0,
|
| 1394 |
+
"eval_accuracy": 0.31537405628002746,
|
| 1395 |
+
"eval_f1_macro": 0.6971612900401489,
|
| 1396 |
+
"eval_f1_micro": 0.8200962947456564,
|
| 1397 |
+
"eval_loss": 0.12031004577875137,
|
| 1398 |
+
"eval_roc_auc": 0.8804175853556411,
|
| 1399 |
+
"eval_runtime": 685.5285,
|
| 1400 |
+
"eval_samples_per_second": 4.251,
|
| 1401 |
+
"eval_steps_per_second": 0.134,
|
| 1402 |
+
"learning_rate": 0.0001,
|
| 1403 |
+
"step": 23306
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 86.72,
|
| 1407 |
+
"learning_rate": 0.0001,
|
| 1408 |
+
"loss": 0.1251,
|
| 1409 |
+
"step": 23500
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 87.0,
|
| 1413 |
+
"eval_accuracy": 0.3150308853809197,
|
| 1414 |
+
"eval_f1_macro": 0.6946815591935039,
|
| 1415 |
+
"eval_f1_micro": 0.8182238085240395,
|
| 1416 |
+
"eval_loss": 0.12081247568130493,
|
| 1417 |
+
"eval_roc_auc": 0.8785070282482941,
|
| 1418 |
+
"eval_runtime": 683.1403,
|
| 1419 |
+
"eval_samples_per_second": 4.266,
|
| 1420 |
+
"eval_steps_per_second": 0.135,
|
| 1421 |
+
"learning_rate": 0.0001,
|
| 1422 |
+
"step": 23577
|
| 1423 |
+
},
|
| 1424 |
+
{
|
| 1425 |
+
"epoch": 88.0,
|
| 1426 |
+
"eval_accuracy": 0.31537405628002746,
|
| 1427 |
+
"eval_f1_macro": 0.6936867859001314,
|
| 1428 |
+
"eval_f1_micro": 0.8180521768308028,
|
| 1429 |
+
"eval_loss": 0.12136104702949524,
|
| 1430 |
+
"eval_roc_auc": 0.8787500393049534,
|
| 1431 |
+
"eval_runtime": 674.7599,
|
| 1432 |
+
"eval_samples_per_second": 4.319,
|
| 1433 |
+
"eval_steps_per_second": 0.136,
|
| 1434 |
+
"learning_rate": 0.0001,
|
| 1435 |
+
"step": 23848
|
| 1436 |
+
},
|
| 1437 |
+
{
|
| 1438 |
+
"epoch": 88.56,
|
| 1439 |
+
"learning_rate": 0.0001,
|
| 1440 |
+
"loss": 0.1246,
|
| 1441 |
+
"step": 24000
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 89.0,
|
| 1445 |
+
"eval_accuracy": 0.31056966369251887,
|
| 1446 |
+
"eval_f1_macro": 0.6953152626493269,
|
| 1447 |
+
"eval_f1_micro": 0.8201318053981447,
|
| 1448 |
+
"eval_loss": 0.12058280408382416,
|
| 1449 |
+
"eval_roc_auc": 0.8796589952705502,
|
| 1450 |
+
"eval_runtime": 682.7847,
|
| 1451 |
+
"eval_samples_per_second": 4.268,
|
| 1452 |
+
"eval_steps_per_second": 0.135,
|
| 1453 |
+
"learning_rate": 0.0001,
|
| 1454 |
+
"step": 24119
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 90.0,
|
| 1458 |
+
"eval_accuracy": 0.3164035689773507,
|
| 1459 |
+
"eval_f1_macro": 0.696027478931947,
|
| 1460 |
+
"eval_f1_micro": 0.8213629530649741,
|
| 1461 |
+
"eval_loss": 0.12102781236171722,
|
| 1462 |
+
"eval_roc_auc": 0.8819102943655497,
|
| 1463 |
+
"eval_runtime": 686.1462,
|
| 1464 |
+
"eval_samples_per_second": 4.247,
|
| 1465 |
+
"eval_steps_per_second": 0.134,
|
| 1466 |
+
"learning_rate": 0.0001,
|
| 1467 |
+
"step": 24390
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 90.41,
|
| 1471 |
+
"learning_rate": 0.0001,
|
| 1472 |
+
"loss": 0.1239,
|
| 1473 |
+
"step": 24500
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 91.0,
|
| 1477 |
+
"eval_accuracy": 0.31537405628002746,
|
| 1478 |
+
"eval_f1_macro": 0.7005956031917913,
|
| 1479 |
+
"eval_f1_micro": 0.8201800293070964,
|
| 1480 |
+
"eval_loss": 0.1198815330862999,
|
| 1481 |
+
"eval_roc_auc": 0.8804638695161929,
|
| 1482 |
+
"eval_runtime": 683.8668,
|
| 1483 |
+
"eval_samples_per_second": 4.261,
|
| 1484 |
+
"eval_steps_per_second": 0.135,
|
| 1485 |
+
"learning_rate": 0.0001,
|
| 1486 |
+
"step": 24661
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 92.0,
|
| 1490 |
+
"eval_accuracy": 0.316060398078243,
|
| 1491 |
+
"eval_f1_macro": 0.703909588701163,
|
| 1492 |
+
"eval_f1_micro": 0.8221735718121359,
|
| 1493 |
+
"eval_loss": 0.12077653408050537,
|
| 1494 |
+
"eval_roc_auc": 0.8856479260631466,
|
| 1495 |
+
"eval_runtime": 672.8479,
|
| 1496 |
+
"eval_samples_per_second": 4.331,
|
| 1497 |
+
"eval_steps_per_second": 0.137,
|
| 1498 |
+
"learning_rate": 0.0001,
|
| 1499 |
+
"step": 24932
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"epoch": 92.25,
|
| 1503 |
+
"learning_rate": 0.0001,
|
| 1504 |
+
"loss": 0.1238,
|
| 1505 |
+
"step": 25000
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 93.0,
|
| 1509 |
+
"eval_accuracy": 0.31331503088538093,
|
| 1510 |
+
"eval_f1_macro": 0.7003774810286753,
|
| 1511 |
+
"eval_f1_micro": 0.8199147228492601,
|
| 1512 |
+
"eval_loss": 0.12042003870010376,
|
| 1513 |
+
"eval_roc_auc": 0.8807814566143944,
|
| 1514 |
+
"eval_runtime": 693.4839,
|
| 1515 |
+
"eval_samples_per_second": 4.202,
|
| 1516 |
+
"eval_steps_per_second": 0.133,
|
| 1517 |
+
"learning_rate": 0.0001,
|
| 1518 |
+
"step": 25203
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"epoch": 94.0,
|
| 1522 |
+
"eval_accuracy": 0.3143445435827042,
|
| 1523 |
+
"eval_f1_macro": 0.7036330518306199,
|
| 1524 |
+
"eval_f1_micro": 0.8230411686586985,
|
| 1525 |
+
"eval_loss": 0.1200033500790596,
|
| 1526 |
+
"eval_roc_auc": 0.8847080200565651,
|
| 1527 |
+
"eval_runtime": 700.664,
|
| 1528 |
+
"eval_samples_per_second": 4.159,
|
| 1529 |
+
"eval_steps_per_second": 0.131,
|
| 1530 |
+
"learning_rate": 0.0001,
|
| 1531 |
+
"step": 25474
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 94.1,
|
| 1535 |
+
"learning_rate": 0.0001,
|
| 1536 |
+
"loss": 0.1237,
|
| 1537 |
+
"step": 25500
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"epoch": 95.0,
|
| 1541 |
+
"eval_accuracy": 0.318805765271105,
|
| 1542 |
+
"eval_f1_macro": 0.7068704040733741,
|
| 1543 |
+
"eval_f1_micro": 0.8209067379143359,
|
| 1544 |
+
"eval_loss": 0.12061866372823715,
|
| 1545 |
+
"eval_roc_auc": 0.8817328760198262,
|
| 1546 |
+
"eval_runtime": 701.3444,
|
| 1547 |
+
"eval_samples_per_second": 4.155,
|
| 1548 |
+
"eval_steps_per_second": 0.131,
|
| 1549 |
+
"learning_rate": 0.0001,
|
| 1550 |
+
"step": 25745
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 95.94,
|
| 1554 |
+
"learning_rate": 0.0001,
|
| 1555 |
+
"loss": 0.1234,
|
| 1556 |
+
"step": 26000
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 96.0,
|
| 1560 |
+
"eval_accuracy": 0.31468771448181193,
|
| 1561 |
+
"eval_f1_macro": 0.7059911076490224,
|
| 1562 |
+
"eval_f1_micro": 0.8222408026755854,
|
| 1563 |
+
"eval_loss": 0.12005680054426193,
|
| 1564 |
+
"eval_roc_auc": 0.8820439842373163,
|
| 1565 |
+
"eval_runtime": 697.7134,
|
| 1566 |
+
"eval_samples_per_second": 4.177,
|
| 1567 |
+
"eval_steps_per_second": 0.132,
|
| 1568 |
+
"learning_rate": 0.0001,
|
| 1569 |
+
"step": 26016
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 97.0,
|
| 1573 |
+
"eval_accuracy": 0.30919698009608787,
|
| 1574 |
+
"eval_f1_macro": 0.7073615141822082,
|
| 1575 |
+
"eval_f1_micro": 0.8207813798836243,
|
| 1576 |
+
"eval_loss": 0.12039094418287277,
|
| 1577 |
+
"eval_roc_auc": 0.882995480497798,
|
| 1578 |
+
"eval_runtime": 701.6443,
|
| 1579 |
+
"eval_samples_per_second": 4.153,
|
| 1580 |
+
"eval_steps_per_second": 0.131,
|
| 1581 |
+
"learning_rate": 0.0001,
|
| 1582 |
+
"step": 26287
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"epoch": 97.79,
|
| 1586 |
+
"learning_rate": 1e-05,
|
| 1587 |
+
"loss": 0.1215,
|
| 1588 |
+
"step": 26500
|
| 1589 |
+
},
|
| 1590 |
+
{
|
| 1591 |
+
"epoch": 98.0,
|
| 1592 |
+
"eval_accuracy": 0.318805765271105,
|
| 1593 |
+
"eval_f1_macro": 0.7125305658957566,
|
| 1594 |
+
"eval_f1_micro": 0.8240848103362597,
|
| 1595 |
+
"eval_loss": 0.12003627419471741,
|
| 1596 |
+
"eval_roc_auc": 0.8859474440267361,
|
| 1597 |
+
"eval_runtime": 703.1401,
|
| 1598 |
+
"eval_samples_per_second": 4.144,
|
| 1599 |
+
"eval_steps_per_second": 0.131,
|
| 1600 |
+
"learning_rate": 1e-05,
|
| 1601 |
+
"step": 26558
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 99.0,
|
| 1605 |
+
"eval_accuracy": 0.31708991077556625,
|
| 1606 |
+
"eval_f1_macro": 0.7126519915135826,
|
| 1607 |
+
"eval_f1_micro": 0.8246739805423309,
|
| 1608 |
+
"eval_loss": 0.11952651292085648,
|
| 1609 |
+
"eval_roc_auc": 0.8863652921241748,
|
| 1610 |
+
"eval_runtime": 704.3933,
|
| 1611 |
+
"eval_samples_per_second": 4.137,
|
| 1612 |
+
"eval_steps_per_second": 0.131,
|
| 1613 |
+
"learning_rate": 1e-05,
|
| 1614 |
+
"step": 26829
|
| 1615 |
+
},
|
| 1616 |
+
{
|
| 1617 |
+
"epoch": 99.63,
|
| 1618 |
+
"learning_rate": 1e-05,
|
| 1619 |
+
"loss": 0.1208,
|
| 1620 |
+
"step": 27000
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 100.0,
|
| 1624 |
+
"eval_accuracy": 0.3164035689773507,
|
| 1625 |
+
"eval_f1_macro": 0.7076695321633534,
|
| 1626 |
+
"eval_f1_micro": 0.8225050234427328,
|
| 1627 |
+
"eval_loss": 0.11920821666717529,
|
| 1628 |
+
"eval_roc_auc": 0.8817868272401618,
|
| 1629 |
+
"eval_runtime": 693.6368,
|
| 1630 |
+
"eval_samples_per_second": 4.201,
|
| 1631 |
+
"eval_steps_per_second": 0.133,
|
| 1632 |
+
"learning_rate": 1e-05,
|
| 1633 |
+
"step": 27100
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 101.0,
|
| 1637 |
+
"eval_accuracy": 0.31708991077556625,
|
| 1638 |
+
"eval_f1_macro": 0.706035453076238,
|
| 1639 |
+
"eval_f1_micro": 0.8232053422370618,
|
| 1640 |
+
"eval_loss": 0.11927199363708496,
|
| 1641 |
+
"eval_roc_auc": 0.8830828349723125,
|
| 1642 |
+
"eval_runtime": 710.5245,
|
| 1643 |
+
"eval_samples_per_second": 4.101,
|
| 1644 |
+
"eval_steps_per_second": 0.129,
|
| 1645 |
+
"learning_rate": 1e-05,
|
| 1646 |
+
"step": 27371
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 101.48,
|
| 1650 |
+
"learning_rate": 1e-05,
|
| 1651 |
+
"loss": 0.1195,
|
| 1652 |
+
"step": 27500
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 102.0,
|
| 1656 |
+
"eval_accuracy": 0.31846259437199725,
|
| 1657 |
+
"eval_f1_macro": 0.710532612125401,
|
| 1658 |
+
"eval_f1_micro": 0.8237933039793969,
|
| 1659 |
+
"eval_loss": 0.11972019821405411,
|
| 1660 |
+
"eval_roc_auc": 0.8848494282248152,
|
| 1661 |
+
"eval_runtime": 702.1024,
|
| 1662 |
+
"eval_samples_per_second": 4.15,
|
| 1663 |
+
"eval_steps_per_second": 0.131,
|
| 1664 |
+
"learning_rate": 1e-05,
|
| 1665 |
+
"step": 27642
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 103.0,
|
| 1669 |
+
"eval_accuracy": 0.31400137268359646,
|
| 1670 |
+
"eval_f1_macro": 0.7075672175938867,
|
| 1671 |
+
"eval_f1_micro": 0.8215544737283866,
|
| 1672 |
+
"eval_loss": 0.11914487928152084,
|
| 1673 |
+
"eval_roc_auc": 0.880506256100978,
|
| 1674 |
+
"eval_runtime": 705.9918,
|
| 1675 |
+
"eval_samples_per_second": 4.128,
|
| 1676 |
+
"eval_steps_per_second": 0.13,
|
| 1677 |
+
"learning_rate": 1e-05,
|
| 1678 |
+
"step": 27913
|
| 1679 |
+
},
|
| 1680 |
+
{
|
| 1681 |
+
"epoch": 103.32,
|
| 1682 |
+
"learning_rate": 1e-05,
|
| 1683 |
+
"loss": 0.1197,
|
| 1684 |
+
"step": 28000
|
| 1685 |
+
},
|
| 1686 |
+
{
|
| 1687 |
+
"epoch": 104.0,
|
| 1688 |
+
"eval_accuracy": 0.32017844886753605,
|
| 1689 |
+
"eval_f1_macro": 0.7063140405914397,
|
| 1690 |
+
"eval_f1_micro": 0.8238771177621446,
|
| 1691 |
+
"eval_loss": 0.11925092339515686,
|
| 1692 |
+
"eval_roc_auc": 0.8842515548583585,
|
| 1693 |
+
"eval_runtime": 693.831,
|
| 1694 |
+
"eval_samples_per_second": 4.2,
|
| 1695 |
+
"eval_steps_per_second": 0.133,
|
| 1696 |
+
"learning_rate": 1e-05,
|
| 1697 |
+
"step": 28184
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 105.0,
|
| 1701 |
+
"eval_accuracy": 0.3126286890871654,
|
| 1702 |
+
"eval_f1_macro": 0.7070687169886732,
|
| 1703 |
+
"eval_f1_micro": 0.8213039640169827,
|
| 1704 |
+
"eval_loss": 0.11896480619907379,
|
| 1705 |
+
"eval_roc_auc": 0.8798775351669367,
|
| 1706 |
+
"eval_runtime": 704.4845,
|
| 1707 |
+
"eval_samples_per_second": 4.136,
|
| 1708 |
+
"eval_steps_per_second": 0.131,
|
| 1709 |
+
"learning_rate": 1e-05,
|
| 1710 |
+
"step": 28455
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 105.17,
|
| 1714 |
+
"learning_rate": 1e-05,
|
| 1715 |
+
"loss": 0.1189,
|
| 1716 |
+
"step": 28500
|
| 1717 |
+
},
|
| 1718 |
+
{
|
| 1719 |
+
"epoch": 106.0,
|
| 1720 |
+
"eval_accuracy": 0.32017844886753605,
|
| 1721 |
+
"eval_f1_macro": 0.7060565909099816,
|
| 1722 |
+
"eval_f1_micro": 0.8232792762746488,
|
| 1723 |
+
"eval_loss": 0.11903885006904602,
|
| 1724 |
+
"eval_roc_auc": 0.8834646985106276,
|
| 1725 |
+
"eval_runtime": 702.4127,
|
| 1726 |
+
"eval_samples_per_second": 4.149,
|
| 1727 |
+
"eval_steps_per_second": 0.131,
|
| 1728 |
+
"learning_rate": 1e-05,
|
| 1729 |
+
"step": 28726
|
| 1730 |
+
},
|
| 1731 |
+
{
|
| 1732 |
+
"epoch": 107.0,
|
| 1733 |
+
"eval_accuracy": 0.3164035689773507,
|
| 1734 |
+
"eval_f1_macro": 0.7038085792556672,
|
| 1735 |
+
"eval_f1_micro": 0.822364833689862,
|
| 1736 |
+
"eval_loss": 0.1193847730755806,
|
| 1737 |
+
"eval_roc_auc": 0.8811169591371075,
|
| 1738 |
+
"eval_runtime": 704.7837,
|
| 1739 |
+
"eval_samples_per_second": 4.135,
|
| 1740 |
+
"eval_steps_per_second": 0.131,
|
| 1741 |
+
"learning_rate": 1e-05,
|
| 1742 |
+
"step": 28997
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 107.01,
|
| 1746 |
+
"learning_rate": 1e-05,
|
| 1747 |
+
"loss": 0.1194,
|
| 1748 |
+
"step": 29000
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 108.0,
|
| 1752 |
+
"eval_accuracy": 0.3191489361702128,
|
| 1753 |
+
"eval_f1_macro": 0.7110378528873161,
|
| 1754 |
+
"eval_f1_micro": 0.8232445520581114,
|
| 1755 |
+
"eval_loss": 0.11912781000137329,
|
| 1756 |
+
"eval_roc_auc": 0.883028832515277,
|
| 1757 |
+
"eval_runtime": 712.626,
|
| 1758 |
+
"eval_samples_per_second": 4.089,
|
| 1759 |
+
"eval_steps_per_second": 0.129,
|
| 1760 |
+
"learning_rate": 1e-05,
|
| 1761 |
+
"step": 29268
|
| 1762 |
+
},
|
| 1763 |
+
{
|
| 1764 |
+
"epoch": 108.86,
|
| 1765 |
+
"learning_rate": 1e-05,
|
| 1766 |
+
"loss": 0.1187,
|
| 1767 |
+
"step": 29500
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 109.0,
|
| 1771 |
+
"eval_accuracy": 0.317433081674674,
|
| 1772 |
+
"eval_f1_macro": 0.7101233565606322,
|
| 1773 |
+
"eval_f1_micro": 0.8229869639937963,
|
| 1774 |
+
"eval_loss": 0.11885793507099152,
|
| 1775 |
+
"eval_roc_auc": 0.8816620950806512,
|
| 1776 |
+
"eval_runtime": 704.8781,
|
| 1777 |
+
"eval_samples_per_second": 4.134,
|
| 1778 |
+
"eval_steps_per_second": 0.131,
|
| 1779 |
+
"learning_rate": 1e-05,
|
| 1780 |
+
"step": 29539
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 110.0,
|
| 1784 |
+
"eval_accuracy": 0.316060398078243,
|
| 1785 |
+
"eval_f1_macro": 0.7043927351077296,
|
| 1786 |
+
"eval_f1_micro": 0.8223593100843511,
|
| 1787 |
+
"eval_loss": 0.11920594424009323,
|
| 1788 |
+
"eval_roc_auc": 0.8809626700624849,
|
| 1789 |
+
"eval_runtime": 698.225,
|
| 1790 |
+
"eval_samples_per_second": 4.173,
|
| 1791 |
+
"eval_steps_per_second": 0.132,
|
| 1792 |
+
"learning_rate": 1e-05,
|
| 1793 |
+
"step": 29810
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 110.7,
|
| 1797 |
+
"learning_rate": 1e-05,
|
| 1798 |
+
"loss": 0.1185,
|
| 1799 |
+
"step": 30000
|
| 1800 |
+
},
|
| 1801 |
+
{
|
| 1802 |
+
"epoch": 111.0,
|
| 1803 |
+
"eval_accuracy": 0.317433081674674,
|
| 1804 |
+
"eval_f1_macro": 0.7082791431366098,
|
| 1805 |
+
"eval_f1_micro": 0.8226405643444505,
|
| 1806 |
+
"eval_loss": 0.1191883385181427,
|
| 1807 |
+
"eval_roc_auc": 0.8827318446199321,
|
| 1808 |
+
"eval_runtime": 708.9619,
|
| 1809 |
+
"eval_samples_per_second": 4.11,
|
| 1810 |
+
"eval_steps_per_second": 0.13,
|
| 1811 |
+
"learning_rate": 1e-05,
|
| 1812 |
+
"step": 30081
|
| 1813 |
+
},
|
| 1814 |
+
{
|
| 1815 |
+
"epoch": 112.0,
|
| 1816 |
+
"eval_accuracy": 0.3205216197666438,
|
| 1817 |
+
"eval_f1_macro": 0.7093446393354451,
|
| 1818 |
+
"eval_f1_micro": 0.8239410221167062,
|
| 1819 |
+
"eval_loss": 0.11904006451368332,
|
| 1820 |
+
"eval_roc_auc": 0.8841101210717583,
|
| 1821 |
+
"eval_runtime": 709.1728,
|
| 1822 |
+
"eval_samples_per_second": 4.109,
|
| 1823 |
+
"eval_steps_per_second": 0.13,
|
| 1824 |
+
"learning_rate": 1e-05,
|
| 1825 |
+
"step": 30352
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"epoch": 112.55,
|
| 1829 |
+
"learning_rate": 1e-05,
|
| 1830 |
+
"loss": 0.119,
|
| 1831 |
+
"step": 30500
|
| 1832 |
+
},
|
| 1833 |
+
{
|
| 1834 |
+
"epoch": 113.0,
|
| 1835 |
+
"eval_accuracy": 0.31708991077556625,
|
| 1836 |
+
"eval_f1_macro": 0.708022770004008,
|
| 1837 |
+
"eval_f1_micro": 0.8232849960526862,
|
| 1838 |
+
"eval_loss": 0.11945341527462006,
|
| 1839 |
+
"eval_roc_auc": 0.8844778642879284,
|
| 1840 |
+
"eval_runtime": 708.0786,
|
| 1841 |
+
"eval_samples_per_second": 4.115,
|
| 1842 |
+
"eval_steps_per_second": 0.13,
|
| 1843 |
+
"learning_rate": 1e-05,
|
| 1844 |
+
"step": 30623
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 114.0,
|
| 1848 |
+
"eval_accuracy": 0.3181194234728895,
|
| 1849 |
+
"eval_f1_macro": 0.7061751648131201,
|
| 1850 |
+
"eval_f1_micro": 0.82203889216264,
|
| 1851 |
+
"eval_loss": 0.11900585889816284,
|
| 1852 |
+
"eval_roc_auc": 0.8798916554890817,
|
| 1853 |
+
"eval_runtime": 701.8292,
|
| 1854 |
+
"eval_samples_per_second": 4.152,
|
| 1855 |
+
"eval_steps_per_second": 0.131,
|
| 1856 |
+
"learning_rate": 1e-05,
|
| 1857 |
+
"step": 30894
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 114.39,
|
| 1861 |
+
"learning_rate": 1e-05,
|
| 1862 |
+
"loss": 0.1182,
|
| 1863 |
+
"step": 31000
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 115.0,
|
| 1867 |
+
"eval_accuracy": 0.317433081674674,
|
| 1868 |
+
"eval_f1_macro": 0.7081036238174518,
|
| 1869 |
+
"eval_f1_micro": 0.8228996779994145,
|
| 1870 |
+
"eval_loss": 0.11918609589338303,
|
| 1871 |
+
"eval_roc_auc": 0.8823203985481548,
|
| 1872 |
+
"eval_runtime": 711.6073,
|
| 1873 |
+
"eval_samples_per_second": 4.095,
|
| 1874 |
+
"eval_steps_per_second": 0.129,
|
| 1875 |
+
"learning_rate": 1e-05,
|
| 1876 |
+
"step": 31165
|
| 1877 |
+
},
|
| 1878 |
+
{
|
| 1879 |
+
"epoch": 116.0,
|
| 1880 |
+
"eval_accuracy": 0.32498284145504464,
|
| 1881 |
+
"eval_f1_macro": 0.7128134624321966,
|
| 1882 |
+
"eval_f1_micro": 0.8255601659751037,
|
| 1883 |
+
"eval_loss": 0.11899947375059128,
|
| 1884 |
+
"eval_roc_auc": 0.8861634026181779,
|
| 1885 |
+
"eval_runtime": 692.0205,
|
| 1886 |
+
"eval_samples_per_second": 4.211,
|
| 1887 |
+
"eval_steps_per_second": 0.133,
|
| 1888 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 1889 |
+
"step": 31436
|
| 1890 |
+
},
|
| 1891 |
+
{
|
| 1892 |
+
"epoch": 116.24,
|
| 1893 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 1894 |
+
"loss": 0.1191,
|
| 1895 |
+
"step": 31500
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"epoch": 117.0,
|
| 1899 |
+
"eval_accuracy": 0.31708991077556625,
|
| 1900 |
+
"eval_f1_macro": 0.7103576429034303,
|
| 1901 |
+
"eval_f1_micro": 0.8231059020510674,
|
| 1902 |
+
"eval_loss": 0.11870068311691284,
|
| 1903 |
+
"eval_roc_auc": 0.8821442452365535,
|
| 1904 |
+
"eval_runtime": 704.8278,
|
| 1905 |
+
"eval_samples_per_second": 4.134,
|
| 1906 |
+
"eval_steps_per_second": 0.131,
|
| 1907 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 1908 |
+
"step": 31707
|
| 1909 |
+
},
|
| 1910 |
+
{
|
| 1911 |
+
"epoch": 118.0,
|
| 1912 |
+
"eval_accuracy": 0.31983527796842826,
|
| 1913 |
+
"eval_f1_macro": 0.7061058223171173,
|
| 1914 |
+
"eval_f1_micro": 0.8235982284616027,
|
| 1915 |
+
"eval_loss": 0.11885705590248108,
|
| 1916 |
+
"eval_roc_auc": 0.8829722487532972,
|
| 1917 |
+
"eval_runtime": 702.381,
|
| 1918 |
+
"eval_samples_per_second": 4.149,
|
| 1919 |
+
"eval_steps_per_second": 0.131,
|
| 1920 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 1921 |
+
"step": 31978
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 118.08,
|
| 1925 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 1926 |
+
"loss": 0.1179,
|
| 1927 |
+
"step": 32000
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 119.0,
|
| 1931 |
+
"eval_accuracy": 0.3181194234728895,
|
| 1932 |
+
"eval_f1_macro": 0.7080350612891082,
|
| 1933 |
+
"eval_f1_micro": 0.8233181609387398,
|
| 1934 |
+
"eval_loss": 0.11888550966978073,
|
| 1935 |
+
"eval_roc_auc": 0.882981257702253,
|
| 1936 |
+
"eval_runtime": 695.5592,
|
| 1937 |
+
"eval_samples_per_second": 4.189,
|
| 1938 |
+
"eval_steps_per_second": 0.132,
|
| 1939 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 1940 |
+
"step": 32249
|
| 1941 |
+
},
|
| 1942 |
+
{
|
| 1943 |
+
"epoch": 119.93,
|
| 1944 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 1945 |
+
"loss": 0.1176,
|
| 1946 |
+
"step": 32500
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 120.0,
|
| 1950 |
+
"eval_accuracy": 0.31846259437199725,
|
| 1951 |
+
"eval_f1_macro": 0.710061474614843,
|
| 1952 |
+
"eval_f1_micro": 0.8238579526508836,
|
| 1953 |
+
"eval_loss": 0.11897823214530945,
|
| 1954 |
+
"eval_roc_auc": 0.883849117735537,
|
| 1955 |
+
"eval_runtime": 696.3539,
|
| 1956 |
+
"eval_samples_per_second": 4.185,
|
| 1957 |
+
"eval_steps_per_second": 0.132,
|
| 1958 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 1959 |
+
"step": 32520
|
| 1960 |
+
},
|
| 1961 |
+
{
|
| 1962 |
+
"epoch": 121.0,
|
| 1963 |
+
"eval_accuracy": 0.3208647906657515,
|
| 1964 |
+
"eval_f1_macro": 0.7127667221711917,
|
| 1965 |
+
"eval_f1_micro": 0.8254309453929147,
|
| 1966 |
+
"eval_loss": 0.11947356164455414,
|
| 1967 |
+
"eval_roc_auc": 0.8872447167930093,
|
| 1968 |
+
"eval_runtime": 693.3862,
|
| 1969 |
+
"eval_samples_per_second": 4.203,
|
| 1970 |
+
"eval_steps_per_second": 0.133,
|
| 1971 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 1972 |
+
"step": 32791
|
| 1973 |
+
},
|
| 1974 |
+
{
|
| 1975 |
+
"epoch": 121.77,
|
| 1976 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 1977 |
+
"loss": 0.1175,
|
| 1978 |
+
"step": 33000
|
| 1979 |
+
},
|
| 1980 |
+
{
|
| 1981 |
+
"epoch": 122.0,
|
| 1982 |
+
"eval_accuracy": 0.31537405628002746,
|
| 1983 |
+
"eval_f1_macro": 0.7048262553703367,
|
| 1984 |
+
"eval_f1_micro": 0.8222669349429913,
|
| 1985 |
+
"eval_loss": 0.11920282989740372,
|
| 1986 |
+
"eval_roc_auc": 0.8812519652796962,
|
| 1987 |
+
"eval_runtime": 684.1671,
|
| 1988 |
+
"eval_samples_per_second": 4.259,
|
| 1989 |
+
"eval_steps_per_second": 0.134,
|
| 1990 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 1991 |
+
"step": 33062
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 123.0,
|
| 1995 |
+
"eval_accuracy": 0.3212079615648593,
|
| 1996 |
+
"eval_f1_macro": 0.7154256602927447,
|
| 1997 |
+
"eval_f1_micro": 0.8255195344970907,
|
| 1998 |
+
"eval_loss": 0.1192421168088913,
|
| 1999 |
+
"eval_roc_auc": 0.8856336776492516,
|
| 2000 |
+
"eval_runtime": 707.8447,
|
| 2001 |
+
"eval_samples_per_second": 4.117,
|
| 2002 |
+
"eval_steps_per_second": 0.13,
|
| 2003 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 2004 |
+
"step": 33333
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 123.62,
|
| 2008 |
+
"learning_rate": 1.0000000000000002e-07,
|
| 2009 |
+
"loss": 0.1176,
|
| 2010 |
+
"step": 33500
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 124.0,
|
| 2014 |
+
"eval_accuracy": 0.3208647906657515,
|
| 2015 |
+
"eval_f1_macro": 0.7109465417900758,
|
| 2016 |
+
"eval_f1_micro": 0.8238532110091744,
|
| 2017 |
+
"eval_loss": 0.11888780444860458,
|
| 2018 |
+
"eval_roc_auc": 0.8836948286609143,
|
| 2019 |
+
"eval_runtime": 715.7035,
|
| 2020 |
+
"eval_samples_per_second": 4.072,
|
| 2021 |
+
"eval_steps_per_second": 0.129,
|
| 2022 |
+
"learning_rate": 1.0000000000000002e-07,
|
| 2023 |
+
"step": 33604
|
| 2024 |
+
},
|
| 2025 |
+
{
|
| 2026 |
+
"epoch": 125.0,
|
| 2027 |
+
"eval_accuracy": 0.3225806451612903,
|
| 2028 |
+
"eval_f1_macro": 0.7101964285625825,
|
| 2029 |
+
"eval_f1_micro": 0.8251958006998834,
|
| 2030 |
+
"eval_loss": 0.11894452571868896,
|
| 2031 |
+
"eval_roc_auc": 0.8847439533789889,
|
| 2032 |
+
"eval_runtime": 706.7139,
|
| 2033 |
+
"eval_samples_per_second": 4.123,
|
| 2034 |
+
"eval_steps_per_second": 0.13,
|
| 2035 |
+
"learning_rate": 1.0000000000000002e-07,
|
| 2036 |
+
"step": 33875
|
| 2037 |
+
},
|
| 2038 |
+
{
|
| 2039 |
+
"epoch": 125.46,
|
| 2040 |
+
"learning_rate": 1.0000000000000002e-07,
|
| 2041 |
+
"loss": 0.1179,
|
| 2042 |
+
"step": 34000
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"epoch": 126.0,
|
| 2046 |
+
"eval_accuracy": 0.3164035689773507,
|
| 2047 |
+
"eval_f1_macro": 0.702507166276965,
|
| 2048 |
+
"eval_f1_micro": 0.8206187305066173,
|
| 2049 |
+
"eval_loss": 0.11890433728694916,
|
| 2050 |
+
"eval_roc_auc": 0.8787088152808908,
|
| 2051 |
+
"eval_runtime": 705.4083,
|
| 2052 |
+
"eval_samples_per_second": 4.131,
|
| 2053 |
+
"eval_steps_per_second": 0.13,
|
| 2054 |
+
"learning_rate": 1.0000000000000002e-07,
|
| 2055 |
+
"step": 34146
|
| 2056 |
+
},
|
| 2057 |
+
{
|
| 2058 |
+
"epoch": 127.0,
|
| 2059 |
+
"eval_accuracy": 0.32155113246396705,
|
| 2060 |
+
"eval_f1_macro": 0.7103986965520878,
|
| 2061 |
+
"eval_f1_micro": 0.8245357813477989,
|
| 2062 |
+
"eval_loss": 0.11901579052209854,
|
| 2063 |
+
"eval_roc_auc": 0.8838838116421884,
|
| 2064 |
+
"eval_runtime": 704.1405,
|
| 2065 |
+
"eval_samples_per_second": 4.138,
|
| 2066 |
+
"eval_steps_per_second": 0.131,
|
| 2067 |
+
"learning_rate": 1.0000000000000002e-07,
|
| 2068 |
+
"step": 34417
|
| 2069 |
+
},
|
| 2070 |
+
{
|
| 2071 |
+
"epoch": 127.0,
|
| 2072 |
+
"learning_rate": 1.0000000000000002e-07,
|
| 2073 |
+
"step": 34417,
|
| 2074 |
+
"total_flos": 1.6323301632319567e+21,
|
| 2075 |
+
"train_loss": 0.0713793940258306,
|
| 2076 |
+
"train_runtime": 211000.3165,
|
| 2077 |
+
"train_samples_per_second": 6.162,
|
| 2078 |
+
"train_steps_per_second": 0.193
|
| 2079 |
+
}
|
| 2080 |
+
],
|
| 2081 |
+
"logging_steps": 500,
|
| 2082 |
+
"max_steps": 40650,
|
| 2083 |
+
"num_input_tokens_seen": 0,
|
| 2084 |
+
"num_train_epochs": 150,
|
| 2085 |
+
"save_steps": 500,
|
| 2086 |
+
"total_flos": 1.6323301632319567e+21,
|
| 2087 |
+
"train_batch_size": 32,
|
| 2088 |
+
"trial_name": null,
|
| 2089 |
+
"trial_params": null
|
| 2090 |
+
}
|