Model save
Browse files- README.md +79 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- accuracy
|
| 7 |
+
model-index:
|
| 8 |
+
- name: mobilevit-small_alpha0.7_temp5.0_t3
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# mobilevit-small_alpha0.7_temp5.0_t3
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.9593
|
| 20 |
+
- Accuracy: 0.6573
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 5e-05
|
| 40 |
+
- train_batch_size: 32
|
| 41 |
+
- eval_batch_size: 32
|
| 42 |
+
- seed: 42
|
| 43 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 44 |
+
- lr_scheduler_type: linear
|
| 45 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 46 |
+
- num_epochs: 20
|
| 47 |
+
|
| 48 |
+
### Training results
|
| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 51 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 52 |
+
| 0.5605 | 1.0 | 164 | 1.4026 | 0.2625 |
|
| 53 |
+
| 0.5309 | 2.0 | 328 | 1.3395 | 0.3210 |
|
| 54 |
+
| 0.4735 | 3.0 | 492 | 1.1833 | 0.4967 |
|
| 55 |
+
| 0.4298 | 4.0 | 656 | 1.1390 | 0.5260 |
|
| 56 |
+
| 0.4036 | 5.0 | 820 | 1.0785 | 0.5748 |
|
| 57 |
+
| 0.3936 | 6.0 | 984 | 1.0463 | 0.5922 |
|
| 58 |
+
| 0.3746 | 7.0 | 1148 | 1.0220 | 0.6074 |
|
| 59 |
+
| 0.3644 | 8.0 | 1312 | 1.0024 | 0.6312 |
|
| 60 |
+
| 0.3514 | 9.0 | 1476 | 0.9987 | 0.6161 |
|
| 61 |
+
| 0.3366 | 10.0 | 1640 | 1.0162 | 0.6247 |
|
| 62 |
+
| 0.3377 | 11.0 | 1804 | 1.0073 | 0.6074 |
|
| 63 |
+
| 0.3291 | 12.0 | 1968 | 0.9801 | 0.6323 |
|
| 64 |
+
| 0.3156 | 13.0 | 2132 | 0.9602 | 0.6584 |
|
| 65 |
+
| 0.3177 | 14.0 | 2296 | 0.9742 | 0.6443 |
|
| 66 |
+
| 0.31 | 15.0 | 2460 | 0.9683 | 0.6486 |
|
| 67 |
+
| 0.3071 | 16.0 | 2624 | 0.9692 | 0.6508 |
|
| 68 |
+
| 0.3077 | 17.0 | 2788 | 0.9566 | 0.6573 |
|
| 69 |
+
| 0.2957 | 18.0 | 2952 | 0.9566 | 0.6584 |
|
| 70 |
+
| 0.3017 | 19.0 | 3116 | 0.9575 | 0.6649 |
|
| 71 |
+
| 0.2911 | 20.0 | 3280 | 0.9593 | 0.6573 |
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
### Framework versions
|
| 75 |
+
|
| 76 |
+
- Transformers 4.45.2
|
| 77 |
+
- Pytorch 2.5.0+cu124
|
| 78 |
+
- Datasets 3.0.1
|
| 79 |
+
- Tokenizers 0.20.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 29269968
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:69401e52646f5a247ea5407838f22081664c00c6460e21189c46734efabe5332
|
| 3 |
size 29269968
|