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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: c14kevincardenas/ClimBEiTv2 |
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tags: |
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- knowledge_distillation |
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- vision |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: deit-small-distilled-patch16-224_alpha0.5_temp3.0 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# deit-small-distilled-patch16-224_alpha0.5_temp3.0 |
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This model is a fine-tuned version of [c14kevincardenas/ClimBEiTv2](https://huggingface.co/c14kevincardenas/ClimBEiTv2) on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6994 |
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- Accuracy: 0.7352 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.2256 | 1.0 | 90 | 1.4204 | 0.2708 | |
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| 1.0697 | 2.0 | 180 | 1.2418 | 0.4377 | |
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| 0.745 | 3.0 | 270 | 0.8560 | 0.6344 | |
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| 0.4822 | 4.0 | 360 | 0.7597 | 0.7055 | |
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| 0.296 | 5.0 | 450 | 0.7598 | 0.7036 | |
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| 0.2083 | 6.0 | 540 | 0.7894 | 0.6868 | |
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| 0.1911 | 7.0 | 630 | 0.7575 | 0.7134 | |
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| 0.1783 | 8.0 | 720 | 0.7299 | 0.7302 | |
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| 0.1743 | 9.0 | 810 | 0.7375 | 0.7184 | |
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| 0.1645 | 10.0 | 900 | 0.7215 | 0.7273 | |
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| 0.1548 | 11.0 | 990 | 0.7100 | 0.7411 | |
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| 0.1544 | 12.0 | 1080 | 0.7043 | 0.7352 | |
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| 0.1461 | 13.0 | 1170 | 0.7097 | 0.7352 | |
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| 0.1439 | 14.0 | 1260 | 0.7007 | 0.7431 | |
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| 0.1428 | 15.0 | 1350 | 0.7013 | 0.7401 | |
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| 0.1409 | 16.0 | 1440 | 0.7026 | 0.7401 | |
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| 0.1402 | 17.0 | 1530 | 0.7042 | 0.7431 | |
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| 0.1325 | 18.0 | 1620 | 0.6994 | 0.7352 | |
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| 0.1364 | 19.0 | 1710 | 0.7015 | 0.7460 | |
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| 0.1329 | 20.0 | 1800 | 0.7007 | 0.7460 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.5.0+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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