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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: beit-base-patch16-384_alpha0.7_temp5.0 |
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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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# beit-base-patch16-384_alpha0.7_temp5.0 |
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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: 0.5012 |
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- Accuracy: 0.8399 |
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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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| 1.098 | 1.0 | 90 | 1.3922 | 0.3063 | |
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| 0.8736 | 2.0 | 180 | 0.9673 | 0.6136 | |
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| 0.5416 | 3.0 | 270 | 0.6812 | 0.7599 | |
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| 0.3877 | 4.0 | 360 | 0.5916 | 0.7984 | |
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| 0.2839 | 5.0 | 450 | 0.5838 | 0.8063 | |
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| 0.2368 | 6.0 | 540 | 0.5499 | 0.8182 | |
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| 0.2149 | 7.0 | 630 | 0.6019 | 0.7984 | |
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| 0.1883 | 8.0 | 720 | 0.5797 | 0.8053 | |
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| 0.1724 | 9.0 | 810 | 0.5546 | 0.8251 | |
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| 0.1587 | 10.0 | 900 | 0.5658 | 0.8231 | |
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| 0.1592 | 11.0 | 990 | 0.5165 | 0.8231 | |
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| 0.1455 | 12.0 | 1080 | 0.5143 | 0.8300 | |
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| 0.1438 | 13.0 | 1170 | 0.5300 | 0.8330 | |
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| 0.1303 | 14.0 | 1260 | 0.5376 | 0.8271 | |
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| 0.1306 | 15.0 | 1350 | 0.5235 | 0.8281 | |
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| 0.1274 | 16.0 | 1440 | 0.5012 | 0.8399 | |
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| 0.121 | 17.0 | 1530 | 0.5207 | 0.8370 | |
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| 0.1197 | 18.0 | 1620 | 0.5180 | 0.8370 | |
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| 0.1189 | 19.0 | 1710 | 0.5124 | 0.8409 | |
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| 0.1157 | 20.0 | 1800 | 0.5116 | 0.8419 | |
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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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