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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
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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-good-gestureUnitV11
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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-good-gestureUnitV11
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+
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+ This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Accuracy: 0.9310
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+ - Loss: 0.3025
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+ - Accuracy Gunit: 0.8571
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+ - Accuracy Nothing: 1.0
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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: 8
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+ - eval_batch_size: 8
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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: 80
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss | Accuracy Gunit | Accuracy Nothing |
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+ |:-------------:|:------:|:----:|:--------:|:---------------:|:--------------:|:----------------:|
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+ | 0.6685 | 0.2125 | 17 | 0.6071 | 0.6297 | 1.0 | 0.2903 |
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+ | 0.5348 | 1.2125 | 34 | 0.8214 | 0.4292 | 0.6 | 1.0 |
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+ | 0.3395 | 2.2125 | 51 | 0.7857 | 0.4852 | 0.88 | 0.7097 |
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+ | 0.3607 | 3.2125 | 68 | 0.8214 | 0.4507 | 0.6 | 1.0 |
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+ | 0.2436 | 4.15 | 80 | 0.7857 | 0.4433 | 0.76 | 0.8065 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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