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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: MCG-NJU/videomae-large
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+ tags:
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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: videomae-large-finetuned-right-hand-conflab-v1
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+ results: []
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+ ---
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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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+
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+ # videomae-large-finetuned-right-hand-conflab-v1
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+
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+ This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5204
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+ - Accuracy: 0.6146
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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+ - eval_batch_size: 16
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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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+ - training_steps: 1404
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | 2.0232 | 0.0420 | 59 | 1.9422 | 0.1942 |
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+ | 1.8426 | 1.0420 | 118 | 1.7418 | 0.3398 |
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+ | 1.7424 | 2.0420 | 177 | 1.6896 | 0.4175 |
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+ | 1.2206 | 3.0420 | 236 | 1.6280 | 0.4466 |
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+ | 1.0738 | 4.0420 | 295 | 1.2310 | 0.5825 |
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+ | 1.0054 | 5.0420 | 354 | 1.3243 | 0.5583 |
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+ | 0.782 | 6.0420 | 413 | 1.1891 | 0.6359 |
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+ | 0.599 | 7.0420 | 472 | 1.1930 | 0.6505 |
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+ | 0.6782 | 8.0420 | 531 | 1.2866 | 0.6359 |
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+ | 0.3033 | 9.0420 | 590 | 1.4236 | 0.5777 |
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+ | 0.2236 | 10.0420 | 649 | 1.3206 | 0.6553 |
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+ | 0.1756 | 11.0420 | 708 | 1.5113 | 0.6602 |
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+ | 0.1341 | 12.0420 | 767 | 1.6544 | 0.6408 |
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+ | 0.0823 | 13.0420 | 826 | 1.6124 | 0.6553 |
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+ | 0.0691 | 14.0420 | 885 | 1.8230 | 0.6456 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0
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+ - Pytorch 1.12.0+cu116
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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