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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: mobilevit-small_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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# mobilevit-small_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: 0.8550 |
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- Accuracy: 0.6680 |
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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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| 1.1311 | 1.0 | 90 | 1.4279 | 0.2470 | |
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| 1.0789 | 2.0 | 180 | 1.3331 | 0.3192 | |
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| 0.9867 | 3.0 | 270 | 1.2525 | 0.3864 | |
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| 0.8433 | 4.0 | 360 | 1.0671 | 0.4970 | |
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| 0.7496 | 5.0 | 450 | 0.9999 | 0.5603 | |
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| 0.6948 | 6.0 | 540 | 0.9374 | 0.5988 | |
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| 0.6495 | 7.0 | 630 | 0.9065 | 0.6146 | |
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| 0.6101 | 8.0 | 720 | 0.9331 | 0.6008 | |
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| 0.5591 | 9.0 | 810 | 0.8673 | 0.6571 | |
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| 0.5406 | 10.0 | 900 | 0.8705 | 0.6235 | |
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| 0.5188 | 11.0 | 990 | 0.8579 | 0.6630 | |
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| 0.4875 | 12.0 | 1080 | 0.8809 | 0.6324 | |
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| 0.4596 | 13.0 | 1170 | 0.8904 | 0.6324 | |
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| 0.4418 | 14.0 | 1260 | 0.8596 | 0.6542 | |
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| 0.4385 | 15.0 | 1350 | 0.8769 | 0.6304 | |
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| 0.4175 | 16.0 | 1440 | 0.8625 | 0.6561 | |
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| 0.413 | 17.0 | 1530 | 0.8578 | 0.6571 | |
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| 0.3973 | 18.0 | 1620 | 0.8573 | 0.6581 | |
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| 0.3964 | 19.0 | 1710 | 0.8550 | 0.6680 | |
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| 0.4004 | 20.0 | 1800 | 0.8711 | 0.6403 | |
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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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