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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/ClimBEiT-t3 |
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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: swin-tiny-patch4-window7-224_alpha0.7_temp3.0_t3 |
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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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# swin-tiny-patch4-window7-224_alpha0.7_temp3.0_t3 |
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This model is a fine-tuned version of [c14kevincardenas/ClimBEiT-t3](https://huggingface.co/c14kevincardenas/ClimBEiT-t3) on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7700 |
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- Accuracy: 0.7961 |
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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: 32 |
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- eval_batch_size: 32 |
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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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| 0.5659 | 1.0 | 164 | 1.4280 | 0.2636 | |
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| 0.5111 | 2.0 | 328 | 1.3040 | 0.3720 | |
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| 0.4093 | 3.0 | 492 | 0.9968 | 0.6356 | |
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| 0.3598 | 4.0 | 656 | 0.9535 | 0.6443 | |
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| 0.3284 | 5.0 | 820 | 0.8426 | 0.7256 | |
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| 0.2933 | 6.0 | 984 | 0.8269 | 0.7657 | |
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| 0.2734 | 7.0 | 1148 | 0.8815 | 0.6952 | |
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| 0.2679 | 8.0 | 1312 | 0.8079 | 0.7679 | |
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| 0.2574 | 9.0 | 1476 | 0.7823 | 0.7863 | |
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| 0.2403 | 10.0 | 1640 | 0.7833 | 0.7907 | |
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| 0.2376 | 11.0 | 1804 | 0.7851 | 0.7852 | |
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| 0.2399 | 12.0 | 1968 | 0.7966 | 0.7939 | |
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| 0.231 | 13.0 | 2132 | 0.7956 | 0.7766 | |
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| 0.2351 | 14.0 | 2296 | 0.7793 | 0.7918 | |
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| 0.2344 | 15.0 | 2460 | 0.7700 | 0.7961 | |
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| 0.232 | 16.0 | 2624 | 0.7845 | 0.7907 | |
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| 0.2318 | 17.0 | 2788 | 0.7930 | 0.7918 | |
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| 0.2241 | 18.0 | 2952 | 0.7814 | 0.7885 | |
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| 0.2291 | 19.0 | 3116 | 0.7901 | 0.7820 | |
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| 0.2227 | 20.0 | 3280 | 0.7854 | 0.7885 | |
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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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