Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-medium-highLR-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-medium-highLR-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-medium-highLR-tr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-medium-highLR-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-medium-highLR-tr") - Notebooks
- Google Colab
- Kaggle
Commit ·
d5f3c40
1
Parent(s): 17020f7
End of training
Browse files
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.05,
|
| 3 |
+
"eval_loss": 0.361074298620224,
|
| 4 |
+
"eval_runtime": 6641.8129,
|
| 5 |
+
"eval_samples_per_second": 1.527,
|
| 6 |
+
"eval_steps_per_second": 0.048,
|
| 7 |
+
"eval_wer": 15.901153962951717,
|
| 8 |
+
"train_loss": 0.07008407963408778,
|
| 9 |
+
"train_runtime": 69355.5101,
|
| 10 |
+
"train_samples_per_second": 2.768,
|
| 11 |
+
"train_steps_per_second": 0.043
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.05,
|
| 3 |
+
"eval_loss": 0.361074298620224,
|
| 4 |
+
"eval_runtime": 6641.8129,
|
| 5 |
+
"eval_samples_per_second": 1.527,
|
| 6 |
+
"eval_steps_per_second": 0.048,
|
| 7 |
+
"eval_wer": 15.901153962951717
|
| 8 |
+
}
|
runs/Dec21_08-14-10_las2-mlgpu40/events.out.tfevents.1671715415.las2-mlgpu40.1654903.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b4801e7e005ec00a80103e45808be2020c6eb48b9f8ffb42188407f04ae3277
|
| 3 |
+
size 358
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.05,
|
| 3 |
+
"train_loss": 0.07008407963408778,
|
| 4 |
+
"train_runtime": 69355.5101,
|
| 5 |
+
"train_samples_per_second": 2.768,
|
| 6 |
+
"train_steps_per_second": 0.043
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,772 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 15.901153962951717,
|
| 3 |
+
"best_model_checkpoint": "./checkpoint-3000",
|
| 4 |
+
"epoch": 9.049,
|
| 5 |
+
"global_step": 3000,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.01,
|
| 12 |
+
"learning_rate": 2.2e-06,
|
| 13 |
+
"loss": 0.9692,
|
| 14 |
+
"step": 25
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.02,
|
| 18 |
+
"learning_rate": 4.7e-06,
|
| 19 |
+
"loss": 0.309,
|
| 20 |
+
"step": 50
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.03,
|
| 24 |
+
"learning_rate": 7.2e-06,
|
| 25 |
+
"loss": 0.1594,
|
| 26 |
+
"step": 75
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.03,
|
| 30 |
+
"learning_rate": 9.7e-06,
|
| 31 |
+
"loss": 0.1527,
|
| 32 |
+
"step": 100
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.04,
|
| 36 |
+
"learning_rate": 1.22e-05,
|
| 37 |
+
"loss": 0.1466,
|
| 38 |
+
"step": 125
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.05,
|
| 42 |
+
"learning_rate": 1.47e-05,
|
| 43 |
+
"loss": 0.1414,
|
| 44 |
+
"step": 150
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.06,
|
| 48 |
+
"learning_rate": 1.7199999999999998e-05,
|
| 49 |
+
"loss": 0.1506,
|
| 50 |
+
"step": 175
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.07,
|
| 54 |
+
"learning_rate": 1.97e-05,
|
| 55 |
+
"loss": 0.1633,
|
| 56 |
+
"step": 200
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.07,
|
| 60 |
+
"learning_rate": 2.22e-05,
|
| 61 |
+
"loss": 0.1928,
|
| 62 |
+
"step": 225
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.08,
|
| 66 |
+
"learning_rate": 2.47e-05,
|
| 67 |
+
"loss": 0.187,
|
| 68 |
+
"step": 250
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.09,
|
| 72 |
+
"learning_rate": 2.7200000000000004e-05,
|
| 73 |
+
"loss": 0.1939,
|
| 74 |
+
"step": 275
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.1,
|
| 78 |
+
"learning_rate": 2.97e-05,
|
| 79 |
+
"loss": 0.1699,
|
| 80 |
+
"step": 300
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 1.0,
|
| 84 |
+
"learning_rate": 3.2200000000000003e-05,
|
| 85 |
+
"loss": 0.198,
|
| 86 |
+
"step": 325
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 1.01,
|
| 90 |
+
"learning_rate": 3.4699999999999996e-05,
|
| 91 |
+
"loss": 0.2113,
|
| 92 |
+
"step": 350
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 1.02,
|
| 96 |
+
"learning_rate": 3.72e-05,
|
| 97 |
+
"loss": 0.1882,
|
| 98 |
+
"step": 375
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 1.03,
|
| 102 |
+
"learning_rate": 3.97e-05,
|
| 103 |
+
"loss": 0.144,
|
| 104 |
+
"step": 400
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 1.04,
|
| 108 |
+
"learning_rate": 4.22e-05,
|
| 109 |
+
"loss": 0.1408,
|
| 110 |
+
"step": 425
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 1.04,
|
| 114 |
+
"learning_rate": 4.47e-05,
|
| 115 |
+
"loss": 0.1388,
|
| 116 |
+
"step": 450
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 1.05,
|
| 120 |
+
"learning_rate": 4.72e-05,
|
| 121 |
+
"loss": 0.1444,
|
| 122 |
+
"step": 475
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 1.06,
|
| 126 |
+
"learning_rate": 4.97e-05,
|
| 127 |
+
"loss": 0.1456,
|
| 128 |
+
"step": 500
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 1.07,
|
| 132 |
+
"learning_rate": 4.956e-05,
|
| 133 |
+
"loss": 0.16,
|
| 134 |
+
"step": 525
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 1.08,
|
| 138 |
+
"learning_rate": 4.906e-05,
|
| 139 |
+
"loss": 0.1578,
|
| 140 |
+
"step": 550
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 1.09,
|
| 144 |
+
"learning_rate": 4.856e-05,
|
| 145 |
+
"loss": 0.1387,
|
| 146 |
+
"step": 575
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 1.09,
|
| 150 |
+
"learning_rate": 4.8060000000000004e-05,
|
| 151 |
+
"loss": 0.1499,
|
| 152 |
+
"step": 600
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 1.1,
|
| 156 |
+
"learning_rate": 4.7560000000000005e-05,
|
| 157 |
+
"loss": 0.1323,
|
| 158 |
+
"step": 625
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 2.01,
|
| 162 |
+
"learning_rate": 4.706000000000001e-05,
|
| 163 |
+
"loss": 0.158,
|
| 164 |
+
"step": 650
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 2.01,
|
| 168 |
+
"learning_rate": 4.656e-05,
|
| 169 |
+
"loss": 0.1479,
|
| 170 |
+
"step": 675
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 2.02,
|
| 174 |
+
"learning_rate": 4.606e-05,
|
| 175 |
+
"loss": 0.1252,
|
| 176 |
+
"step": 700
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 2.03,
|
| 180 |
+
"learning_rate": 4.5560000000000004e-05,
|
| 181 |
+
"loss": 0.1246,
|
| 182 |
+
"step": 725
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 2.04,
|
| 186 |
+
"learning_rate": 4.506e-05,
|
| 187 |
+
"loss": 0.1201,
|
| 188 |
+
"step": 750
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 2.05,
|
| 192 |
+
"learning_rate": 4.456e-05,
|
| 193 |
+
"loss": 0.0986,
|
| 194 |
+
"step": 775
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 2.06,
|
| 198 |
+
"learning_rate": 4.406e-05,
|
| 199 |
+
"loss": 0.1088,
|
| 200 |
+
"step": 800
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 2.06,
|
| 204 |
+
"learning_rate": 4.356e-05,
|
| 205 |
+
"loss": 0.1078,
|
| 206 |
+
"step": 825
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 2.07,
|
| 210 |
+
"learning_rate": 4.306e-05,
|
| 211 |
+
"loss": 0.1135,
|
| 212 |
+
"step": 850
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 2.08,
|
| 216 |
+
"learning_rate": 4.256e-05,
|
| 217 |
+
"loss": 0.1058,
|
| 218 |
+
"step": 875
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 2.09,
|
| 222 |
+
"learning_rate": 4.206e-05,
|
| 223 |
+
"loss": 0.0886,
|
| 224 |
+
"step": 900
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 2.1,
|
| 228 |
+
"learning_rate": 4.156e-05,
|
| 229 |
+
"loss": 0.0906,
|
| 230 |
+
"step": 925
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 2.11,
|
| 234 |
+
"learning_rate": 4.106e-05,
|
| 235 |
+
"loss": 0.0828,
|
| 236 |
+
"step": 950
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 3.01,
|
| 240 |
+
"learning_rate": 4.0560000000000005e-05,
|
| 241 |
+
"loss": 0.0957,
|
| 242 |
+
"step": 975
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 3.02,
|
| 246 |
+
"learning_rate": 4.0060000000000006e-05,
|
| 247 |
+
"loss": 0.0856,
|
| 248 |
+
"step": 1000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 3.02,
|
| 252 |
+
"eval_loss": 0.3732326328754425,
|
| 253 |
+
"eval_runtime": 7430.1269,
|
| 254 |
+
"eval_samples_per_second": 1.365,
|
| 255 |
+
"eval_steps_per_second": 0.043,
|
| 256 |
+
"eval_wer": 20.67643486182812,
|
| 257 |
+
"step": 1000
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 3.02,
|
| 261 |
+
"learning_rate": 3.956e-05,
|
| 262 |
+
"loss": 0.0715,
|
| 263 |
+
"step": 1025
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 3.03,
|
| 267 |
+
"learning_rate": 3.906e-05,
|
| 268 |
+
"loss": 0.0813,
|
| 269 |
+
"step": 1050
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 3.04,
|
| 273 |
+
"learning_rate": 3.8560000000000004e-05,
|
| 274 |
+
"loss": 0.0681,
|
| 275 |
+
"step": 1075
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 3.05,
|
| 279 |
+
"learning_rate": 3.806e-05,
|
| 280 |
+
"loss": 0.0654,
|
| 281 |
+
"step": 1100
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 3.06,
|
| 285 |
+
"learning_rate": 3.756e-05,
|
| 286 |
+
"loss": 0.0698,
|
| 287 |
+
"step": 1125
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 3.07,
|
| 291 |
+
"learning_rate": 3.706e-05,
|
| 292 |
+
"loss": 0.0633,
|
| 293 |
+
"step": 1150
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 3.07,
|
| 297 |
+
"learning_rate": 3.656e-05,
|
| 298 |
+
"loss": 0.0657,
|
| 299 |
+
"step": 1175
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 3.08,
|
| 303 |
+
"learning_rate": 3.606e-05,
|
| 304 |
+
"loss": 0.0532,
|
| 305 |
+
"step": 1200
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 3.09,
|
| 309 |
+
"learning_rate": 3.5560000000000005e-05,
|
| 310 |
+
"loss": 0.0545,
|
| 311 |
+
"step": 1225
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 3.1,
|
| 315 |
+
"learning_rate": 3.5060000000000007e-05,
|
| 316 |
+
"loss": 0.0511,
|
| 317 |
+
"step": 1250
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 4.0,
|
| 321 |
+
"learning_rate": 3.456e-05,
|
| 322 |
+
"loss": 0.0654,
|
| 323 |
+
"step": 1275
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 4.01,
|
| 327 |
+
"learning_rate": 3.406e-05,
|
| 328 |
+
"loss": 0.063,
|
| 329 |
+
"step": 1300
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 4.02,
|
| 333 |
+
"learning_rate": 3.3560000000000004e-05,
|
| 334 |
+
"loss": 0.0532,
|
| 335 |
+
"step": 1325
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 4.03,
|
| 339 |
+
"learning_rate": 3.3060000000000005e-05,
|
| 340 |
+
"loss": 0.0427,
|
| 341 |
+
"step": 1350
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 4.04,
|
| 345 |
+
"learning_rate": 3.256e-05,
|
| 346 |
+
"loss": 0.0483,
|
| 347 |
+
"step": 1375
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 4.04,
|
| 351 |
+
"learning_rate": 3.206e-05,
|
| 352 |
+
"loss": 0.0462,
|
| 353 |
+
"step": 1400
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 4.05,
|
| 357 |
+
"learning_rate": 3.156e-05,
|
| 358 |
+
"loss": 0.0417,
|
| 359 |
+
"step": 1425
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 4.06,
|
| 363 |
+
"learning_rate": 3.106e-05,
|
| 364 |
+
"loss": 0.0408,
|
| 365 |
+
"step": 1450
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 4.07,
|
| 369 |
+
"learning_rate": 3.056e-05,
|
| 370 |
+
"loss": 0.0355,
|
| 371 |
+
"step": 1475
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 4.08,
|
| 375 |
+
"learning_rate": 3.006e-05,
|
| 376 |
+
"loss": 0.0426,
|
| 377 |
+
"step": 1500
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 4.09,
|
| 381 |
+
"learning_rate": 2.9559999999999998e-05,
|
| 382 |
+
"loss": 0.033,
|
| 383 |
+
"step": 1525
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 4.09,
|
| 387 |
+
"learning_rate": 2.9060000000000003e-05,
|
| 388 |
+
"loss": 0.0403,
|
| 389 |
+
"step": 1550
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 4.1,
|
| 393 |
+
"learning_rate": 2.8560000000000004e-05,
|
| 394 |
+
"loss": 0.0274,
|
| 395 |
+
"step": 1575
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 5.0,
|
| 399 |
+
"learning_rate": 2.8060000000000002e-05,
|
| 400 |
+
"loss": 0.0333,
|
| 401 |
+
"step": 1600
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 5.01,
|
| 405 |
+
"learning_rate": 2.7560000000000004e-05,
|
| 406 |
+
"loss": 0.0323,
|
| 407 |
+
"step": 1625
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 5.02,
|
| 411 |
+
"learning_rate": 2.7060000000000002e-05,
|
| 412 |
+
"loss": 0.0286,
|
| 413 |
+
"step": 1650
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 5.03,
|
| 417 |
+
"learning_rate": 2.6560000000000003e-05,
|
| 418 |
+
"loss": 0.0263,
|
| 419 |
+
"step": 1675
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 5.04,
|
| 423 |
+
"learning_rate": 2.606e-05,
|
| 424 |
+
"loss": 0.0249,
|
| 425 |
+
"step": 1700
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 5.05,
|
| 429 |
+
"learning_rate": 2.556e-05,
|
| 430 |
+
"loss": 0.0218,
|
| 431 |
+
"step": 1725
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 5.05,
|
| 435 |
+
"learning_rate": 2.506e-05,
|
| 436 |
+
"loss": 0.0201,
|
| 437 |
+
"step": 1750
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 5.06,
|
| 441 |
+
"learning_rate": 2.4560000000000002e-05,
|
| 442 |
+
"loss": 0.0219,
|
| 443 |
+
"step": 1775
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 5.07,
|
| 447 |
+
"learning_rate": 2.4060000000000003e-05,
|
| 448 |
+
"loss": 0.0219,
|
| 449 |
+
"step": 1800
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 5.08,
|
| 453 |
+
"learning_rate": 2.356e-05,
|
| 454 |
+
"loss": 0.0217,
|
| 455 |
+
"step": 1825
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 5.09,
|
| 459 |
+
"learning_rate": 2.306e-05,
|
| 460 |
+
"loss": 0.0176,
|
| 461 |
+
"step": 1850
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 5.1,
|
| 465 |
+
"learning_rate": 2.256e-05,
|
| 466 |
+
"loss": 0.0211,
|
| 467 |
+
"step": 1875
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 5.11,
|
| 471 |
+
"learning_rate": 2.206e-05,
|
| 472 |
+
"loss": 0.0169,
|
| 473 |
+
"step": 1900
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 6.01,
|
| 477 |
+
"learning_rate": 2.1560000000000004e-05,
|
| 478 |
+
"loss": 0.0222,
|
| 479 |
+
"step": 1925
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 6.02,
|
| 483 |
+
"learning_rate": 2.106e-05,
|
| 484 |
+
"loss": 0.0172,
|
| 485 |
+
"step": 1950
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 6.02,
|
| 489 |
+
"learning_rate": 2.0560000000000003e-05,
|
| 490 |
+
"loss": 0.0152,
|
| 491 |
+
"step": 1975
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 6.03,
|
| 495 |
+
"learning_rate": 2.006e-05,
|
| 496 |
+
"loss": 0.0119,
|
| 497 |
+
"step": 2000
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 6.03,
|
| 501 |
+
"eval_loss": 0.3684307634830475,
|
| 502 |
+
"eval_runtime": 6884.4626,
|
| 503 |
+
"eval_samples_per_second": 1.473,
|
| 504 |
+
"eval_steps_per_second": 0.046,
|
| 505 |
+
"eval_wer": 17.535302156088672,
|
| 506 |
+
"step": 2000
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 6.04,
|
| 510 |
+
"learning_rate": 1.956e-05,
|
| 511 |
+
"loss": 0.0107,
|
| 512 |
+
"step": 2025
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 6.05,
|
| 516 |
+
"learning_rate": 1.906e-05,
|
| 517 |
+
"loss": 0.009,
|
| 518 |
+
"step": 2050
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 6.06,
|
| 522 |
+
"learning_rate": 1.856e-05,
|
| 523 |
+
"loss": 0.0155,
|
| 524 |
+
"step": 2075
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 6.07,
|
| 528 |
+
"learning_rate": 1.8060000000000003e-05,
|
| 529 |
+
"loss": 0.0129,
|
| 530 |
+
"step": 2100
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 6.07,
|
| 534 |
+
"learning_rate": 1.756e-05,
|
| 535 |
+
"loss": 0.0119,
|
| 536 |
+
"step": 2125
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 6.08,
|
| 540 |
+
"learning_rate": 1.706e-05,
|
| 541 |
+
"loss": 0.0074,
|
| 542 |
+
"step": 2150
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 6.09,
|
| 546 |
+
"learning_rate": 1.656e-05,
|
| 547 |
+
"loss": 0.0062,
|
| 548 |
+
"step": 2175
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 6.1,
|
| 552 |
+
"learning_rate": 1.606e-05,
|
| 553 |
+
"loss": 0.0052,
|
| 554 |
+
"step": 2200
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 7.0,
|
| 558 |
+
"learning_rate": 1.556e-05,
|
| 559 |
+
"loss": 0.0091,
|
| 560 |
+
"step": 2225
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 7.01,
|
| 564 |
+
"learning_rate": 1.5060000000000001e-05,
|
| 565 |
+
"loss": 0.0086,
|
| 566 |
+
"step": 2250
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 7.02,
|
| 570 |
+
"learning_rate": 1.4560000000000001e-05,
|
| 571 |
+
"loss": 0.0079,
|
| 572 |
+
"step": 2275
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 7.03,
|
| 576 |
+
"learning_rate": 1.4060000000000001e-05,
|
| 577 |
+
"loss": 0.0076,
|
| 578 |
+
"step": 2300
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 7.04,
|
| 582 |
+
"learning_rate": 1.356e-05,
|
| 583 |
+
"loss": 0.0052,
|
| 584 |
+
"step": 2325
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 7.04,
|
| 588 |
+
"learning_rate": 1.306e-05,
|
| 589 |
+
"loss": 0.0041,
|
| 590 |
+
"step": 2350
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 7.05,
|
| 594 |
+
"learning_rate": 1.256e-05,
|
| 595 |
+
"loss": 0.004,
|
| 596 |
+
"step": 2375
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 7.06,
|
| 600 |
+
"learning_rate": 1.206e-05,
|
| 601 |
+
"loss": 0.0032,
|
| 602 |
+
"step": 2400
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 7.07,
|
| 606 |
+
"learning_rate": 1.156e-05,
|
| 607 |
+
"loss": 0.0073,
|
| 608 |
+
"step": 2425
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 7.08,
|
| 612 |
+
"learning_rate": 1.106e-05,
|
| 613 |
+
"loss": 0.0048,
|
| 614 |
+
"step": 2450
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 7.09,
|
| 618 |
+
"learning_rate": 1.056e-05,
|
| 619 |
+
"loss": 0.0027,
|
| 620 |
+
"step": 2475
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 7.09,
|
| 624 |
+
"learning_rate": 1.006e-05,
|
| 625 |
+
"loss": 0.0032,
|
| 626 |
+
"step": 2500
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 7.1,
|
| 630 |
+
"learning_rate": 9.560000000000002e-06,
|
| 631 |
+
"loss": 0.0024,
|
| 632 |
+
"step": 2525
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 8.0,
|
| 636 |
+
"learning_rate": 9.06e-06,
|
| 637 |
+
"loss": 0.0033,
|
| 638 |
+
"step": 2550
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 8.01,
|
| 642 |
+
"learning_rate": 8.56e-06,
|
| 643 |
+
"loss": 0.0022,
|
| 644 |
+
"step": 2575
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 8.02,
|
| 648 |
+
"learning_rate": 8.06e-06,
|
| 649 |
+
"loss": 0.0027,
|
| 650 |
+
"step": 2600
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 8.03,
|
| 654 |
+
"learning_rate": 7.5600000000000005e-06,
|
| 655 |
+
"loss": 0.0014,
|
| 656 |
+
"step": 2625
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 8.04,
|
| 660 |
+
"learning_rate": 7.06e-06,
|
| 661 |
+
"loss": 0.0014,
|
| 662 |
+
"step": 2650
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 8.05,
|
| 666 |
+
"learning_rate": 6.560000000000001e-06,
|
| 667 |
+
"loss": 0.0025,
|
| 668 |
+
"step": 2675
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 8.05,
|
| 672 |
+
"learning_rate": 6.0600000000000004e-06,
|
| 673 |
+
"loss": 0.0011,
|
| 674 |
+
"step": 2700
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 8.06,
|
| 678 |
+
"learning_rate": 5.56e-06,
|
| 679 |
+
"loss": 0.0008,
|
| 680 |
+
"step": 2725
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 8.07,
|
| 684 |
+
"learning_rate": 5.06e-06,
|
| 685 |
+
"loss": 0.0016,
|
| 686 |
+
"step": 2750
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 8.08,
|
| 690 |
+
"learning_rate": 4.56e-06,
|
| 691 |
+
"loss": 0.001,
|
| 692 |
+
"step": 2775
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 8.09,
|
| 696 |
+
"learning_rate": 4.06e-06,
|
| 697 |
+
"loss": 0.0005,
|
| 698 |
+
"step": 2800
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 8.1,
|
| 702 |
+
"learning_rate": 3.5600000000000002e-06,
|
| 703 |
+
"loss": 0.0009,
|
| 704 |
+
"step": 2825
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 8.1,
|
| 708 |
+
"learning_rate": 3.06e-06,
|
| 709 |
+
"loss": 0.0005,
|
| 710 |
+
"step": 2850
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 9.01,
|
| 714 |
+
"learning_rate": 2.56e-06,
|
| 715 |
+
"loss": 0.0007,
|
| 716 |
+
"step": 2875
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 9.02,
|
| 720 |
+
"learning_rate": 2.06e-06,
|
| 721 |
+
"loss": 0.0005,
|
| 722 |
+
"step": 2900
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 9.02,
|
| 726 |
+
"learning_rate": 1.56e-06,
|
| 727 |
+
"loss": 0.0007,
|
| 728 |
+
"step": 2925
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 9.03,
|
| 732 |
+
"learning_rate": 1.06e-06,
|
| 733 |
+
"loss": 0.0004,
|
| 734 |
+
"step": 2950
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 9.04,
|
| 738 |
+
"learning_rate": 5.6e-07,
|
| 739 |
+
"loss": 0.0008,
|
| 740 |
+
"step": 2975
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 9.05,
|
| 744 |
+
"learning_rate": 6e-08,
|
| 745 |
+
"loss": 0.001,
|
| 746 |
+
"step": 3000
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 9.05,
|
| 750 |
+
"eval_loss": 0.361074298620224,
|
| 751 |
+
"eval_runtime": 6919.6339,
|
| 752 |
+
"eval_samples_per_second": 1.466,
|
| 753 |
+
"eval_steps_per_second": 0.046,
|
| 754 |
+
"eval_wer": 15.901153962951717,
|
| 755 |
+
"step": 3000
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 9.05,
|
| 759 |
+
"step": 3000,
|
| 760 |
+
"total_flos": 1.9564383714213888e+20,
|
| 761 |
+
"train_loss": 0.07008407963408778,
|
| 762 |
+
"train_runtime": 69355.5101,
|
| 763 |
+
"train_samples_per_second": 2.768,
|
| 764 |
+
"train_steps_per_second": 0.043
|
| 765 |
+
}
|
| 766 |
+
],
|
| 767 |
+
"max_steps": 3000,
|
| 768 |
+
"num_train_epochs": 9223372036854775807,
|
| 769 |
+
"total_flos": 1.9564383714213888e+20,
|
| 770 |
+
"trial_name": null,
|
| 771 |
+
"trial_params": null
|
| 772 |
+
}
|