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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-base-finetuned-kinetics
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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-base-finetuned-kinetics-finetuned-right-hand-conflab-baseline-2
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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-base-finetuned-kinetics-finetuned-right-hand-conflab-baseline-2
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+
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+ This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4525
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+ - Accuracy: 0.5951
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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: 1170
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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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+ | 1.7757 | 0.0504 | 59 | 1.7544 | 0.3398 |
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+ | 1.4807 | 1.0504 | 118 | 1.7067 | 0.3689 |
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+ | 1.4444 | 2.0504 | 177 | 1.4684 | 0.4320 |
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+ | 1.022 | 3.0504 | 236 | 1.4322 | 0.5388 |
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+ | 0.7796 | 4.0504 | 295 | 1.2440 | 0.5583 |
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+ | 0.5612 | 5.0504 | 354 | 1.3034 | 0.5680 |
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+ | 0.4722 | 6.0504 | 413 | 1.4143 | 0.5728 |
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+ | 0.3215 | 7.0504 | 472 | 1.3449 | 0.5825 |
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+ | 0.2223 | 8.0504 | 531 | 1.3282 | 0.6019 |
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+ | 0.1452 | 9.0504 | 590 | 1.4134 | 0.6068 |
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+ | 0.1771 | 10.0504 | 649 | 1.4489 | 0.6019 |
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+ | 0.0472 | 11.0504 | 708 | 1.5544 | 0.5922 |
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+ | 0.0384 | 12.0504 | 767 | 1.6467 | 0.5874 |
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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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