End of training
Browse files- README.md +108 -0
- all_results.json +13 -0
- config.json +44 -0
- eval_results.json +9 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- train_results.json +7 -0
- trainer_state.json +510 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
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base_model: google/vit-base-patch16-224-in21k
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tags:
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| 4 |
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- generated_from_trainer
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| 5 |
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datasets:
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| 6 |
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- imagefolder
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| 7 |
+
metrics:
|
| 8 |
+
- accuracy
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| 9 |
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- f1
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| 10 |
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model-index:
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| 11 |
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- name: emotion_classification
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| 12 |
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results:
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| 13 |
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- task:
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name: Image Classification
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| 15 |
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type: image-classification
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| 16 |
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dataset:
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name: imagefolder
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| 18 |
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type: imagefolder
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| 19 |
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config: default
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split: train
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args: default
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metrics:
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| 23 |
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- name: Accuracy
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| 24 |
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type: accuracy
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| 25 |
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value: 0.65
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| 26 |
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- name: F1
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| 27 |
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type: f1
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| 28 |
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value: 0.6231481481481482
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| 29 |
+
---
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| 30 |
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| 31 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 32 |
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should probably proofread and complete it, then remove this comment. -->
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| 33 |
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# emotion_classification
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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| 38 |
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- Loss: 1.1136
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| 39 |
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- Accuracy: 0.65
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- F1: 0.6231
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| 41 |
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| 42 |
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## Model description
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| 43 |
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| 44 |
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More information needed
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| 45 |
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## Intended uses & limitations
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| 47 |
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| 48 |
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More information needed
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| 49 |
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| 50 |
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## Training and evaluation data
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| 51 |
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| 52 |
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More information needed
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| 53 |
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| 54 |
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## Training procedure
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| 55 |
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| 56 |
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### Training hyperparameters
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| 57 |
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| 58 |
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The following hyperparameters were used during training:
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| 59 |
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- learning_rate: 0.0001
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| 60 |
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- train_batch_size: 16
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| 61 |
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- eval_batch_size: 16
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| 62 |
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- seed: 45
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| 63 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 64 |
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- lr_scheduler_type: cosine_with_restarts
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| 65 |
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- num_epochs: 30
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| 66 |
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| 67 |
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### Training results
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| 68 |
+
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| 69 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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| 70 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 71 |
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| 1.9172 | 1.0 | 43 | 1.5751 | 0.4333 | 0.3263 |
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| 72 |
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| 1.4505 | 2.0 | 86 | 1.3041 | 0.5333 | 0.4651 |
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| 73 |
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| 1.1121 | 3.0 | 129 | 1.2902 | 0.4833 | 0.4684 |
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| 74 |
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| 0.8491 | 4.0 | 172 | 1.2309 | 0.5167 | 0.4916 |
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| 75 |
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| 0.6168 | 5.0 | 215 | 1.2573 | 0.5583 | 0.5310 |
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| 76 |
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| 0.3953 | 6.0 | 258 | 1.1502 | 0.575 | 0.5401 |
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| 77 |
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| 0.3048 | 7.0 | 301 | 1.1136 | 0.65 | 0.6231 |
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| 78 |
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| 0.1875 | 8.0 | 344 | 1.4224 | 0.5667 | 0.5598 |
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| 79 |
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| 0.1277 | 9.0 | 387 | 1.3467 | 0.6167 | 0.6011 |
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| 80 |
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| 0.1123 | 10.0 | 430 | 1.5838 | 0.5833 | 0.5657 |
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| 81 |
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| 0.1123 | 11.0 | 473 | 1.5063 | 0.5833 | 0.5550 |
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| 82 |
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| 0.0694 | 12.0 | 516 | 1.7733 | 0.55 | 0.5320 |
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| 83 |
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| 0.0499 | 13.0 | 559 | 1.6329 | 0.5833 | 0.5536 |
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| 84 |
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| 0.0367 | 14.0 | 602 | 1.6878 | 0.5833 | 0.5685 |
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| 85 |
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| 0.0291 | 15.0 | 645 | 1.6855 | 0.575 | 0.5392 |
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| 86 |
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| 0.0284 | 16.0 | 688 | 1.7869 | 0.6083 | 0.5880 |
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| 87 |
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| 0.0316 | 17.0 | 731 | 1.5831 | 0.5917 | 0.5670 |
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| 88 |
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| 0.0273 | 18.0 | 774 | 1.5933 | 0.625 | 0.5984 |
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| 89 |
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| 0.0234 | 19.0 | 817 | 1.7830 | 0.5833 | 0.5652 |
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| 0.0194 | 20.0 | 860 | 1.6804 | 0.6083 | 0.5878 |
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| 91 |
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| 0.0214 | 21.0 | 903 | 1.5962 | 0.6 | 0.5701 |
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| 92 |
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| 0.0204 | 22.0 | 946 | 1.5684 | 0.625 | 0.5992 |
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| 93 |
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| 0.0178 | 23.0 | 989 | 1.5924 | 0.625 | 0.5992 |
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| 94 |
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| 0.0173 | 24.0 | 1032 | 1.6228 | 0.6167 | 0.5933 |
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| 95 |
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| 0.016 | 25.0 | 1075 | 1.6177 | 0.6333 | 0.6073 |
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| 96 |
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| 0.016 | 26.0 | 1118 | 1.6268 | 0.625 | 0.6009 |
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| 97 |
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| 0.016 | 27.0 | 1161 | 1.6387 | 0.625 | 0.6009 |
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| 98 |
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| 0.0159 | 28.0 | 1204 | 1.6403 | 0.625 | 0.6009 |
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| 99 |
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| 0.0162 | 29.0 | 1247 | 1.6409 | 0.625 | 0.6009 |
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| 100 |
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| 0.018 | 30.0 | 1290 | 1.6412 | 0.625 | 0.6009 |
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| 101 |
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| 102 |
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| 103 |
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### Framework versions
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| 105 |
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- Transformers 4.37.2
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| 106 |
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- Pytorch 2.1.2
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| 107 |
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- Datasets 2.16.1
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| 108 |
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- Tokenizers 0.15.1
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all_results.json
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| 1 |
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{
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| 2 |
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"epoch": 30.0,
|
| 3 |
+
"eval_accuracy": 0.65,
|
| 4 |
+
"eval_f1": 0.6231481481481482,
|
| 5 |
+
"eval_loss": 1.1135584115982056,
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| 6 |
+
"eval_runtime": 4.9712,
|
| 7 |
+
"eval_samples_per_second": 24.139,
|
| 8 |
+
"eval_steps_per_second": 1.609,
|
| 9 |
+
"train_loss": 0.25586533430934877,
|
| 10 |
+
"train_runtime": 2391.6751,
|
| 11 |
+
"train_samples_per_second": 8.53,
|
| 12 |
+
"train_steps_per_second": 0.539
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| 13 |
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}
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config.json
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| 1 |
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{
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| 2 |
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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| 3 |
+
"architectures": [
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| 4 |
+
"ViTForImageClassification"
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| 5 |
+
],
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| 6 |
+
"attention_probs_dropout_prob": 0.2,
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| 7 |
+
"encoder_stride": 16,
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| 8 |
+
"hidden_act": "gelu",
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| 9 |
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"hidden_dropout_prob": 0.2,
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| 10 |
+
"hidden_size": 768,
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| 11 |
+
"id2label": {
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| 12 |
+
"0": "anger",
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| 13 |
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"1": "contempt",
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| 14 |
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"2": "disgust",
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| 15 |
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"3": "fear",
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| 16 |
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"4": "happy",
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| 17 |
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"5": "neutral",
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| 18 |
+
"6": "sad",
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| 19 |
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"7": "surprise"
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| 20 |
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},
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| 21 |
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"image_size": 224,
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| 22 |
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"initializer_range": 0.02,
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| 23 |
+
"intermediate_size": 3072,
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| 24 |
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"label2id": {
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| 25 |
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"anger": "0",
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| 26 |
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"contempt": "1",
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| 27 |
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"disgust": "2",
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| 28 |
+
"fear": "3",
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| 29 |
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"happy": "4",
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| 30 |
+
"neutral": "5",
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| 31 |
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"sad": "6",
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| 32 |
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"surprise": "7"
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| 33 |
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},
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| 34 |
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"layer_norm_eps": 1e-12,
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| 35 |
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"model_type": "vit",
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| 36 |
+
"num_attention_heads": 12,
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| 37 |
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"num_channels": 3,
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| 38 |
+
"num_hidden_layers": 12,
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| 39 |
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"patch_size": 16,
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| 40 |
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"problem_type": "single_label_classification",
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| 41 |
+
"qkv_bias": true,
|
| 42 |
+
"torch_dtype": "float32",
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| 43 |
+
"transformers_version": "4.37.2"
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| 44 |
+
}
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eval_results.json
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| 1 |
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{
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| 2 |
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"epoch": 30.0,
|
| 3 |
+
"eval_accuracy": 0.65,
|
| 4 |
+
"eval_f1": 0.6231481481481482,
|
| 5 |
+
"eval_loss": 1.1135584115982056,
|
| 6 |
+
"eval_runtime": 4.9712,
|
| 7 |
+
"eval_samples_per_second": 24.139,
|
| 8 |
+
"eval_steps_per_second": 1.609
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| 9 |
+
}
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model.safetensors
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0bd0d898a5b7e5edf6f1193d7f3b97c960e7e4f013cd47a0c7190abe1bc6d4dc
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| 3 |
+
size 343242432
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preprocessor_config.json
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|
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| 1 |
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{
|
| 2 |
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"do_normalize": true,
|
| 3 |
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"do_rescale": true,
|
| 4 |
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"do_resize": true,
|
| 5 |
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"image_mean": [
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| 6 |
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0.5,
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| 7 |
+
0.5,
|
| 8 |
+
0.5
|
| 9 |
+
],
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| 10 |
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"image_processor_type": "ViTImageProcessor",
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| 11 |
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"image_std": [
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| 12 |
+
0.5,
|
| 13 |
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0.5,
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| 14 |
+
0.5
|
| 15 |
+
],
|
| 16 |
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"resample": 2,
|
| 17 |
+
"rescale_factor": 0.00392156862745098,
|
| 18 |
+
"size": {
|
| 19 |
+
"height": 224,
|
| 20 |
+
"width": 224
|
| 21 |
+
}
|
| 22 |
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}
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train_results.json
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| 1 |
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{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"train_loss": 0.25586533430934877,
|
| 4 |
+
"train_runtime": 2391.6751,
|
| 5 |
+
"train_samples_per_second": 8.53,
|
| 6 |
+
"train_steps_per_second": 0.539
|
| 7 |
+
}
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trainer_state.json
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|
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training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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