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README.md ADDED
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+ ---
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+ library_name: transformers
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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: Real_RGBCROP_Aug16F-8B16F5e6-poly
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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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+ # Real_RGBCROP_Aug16F-8B16F5e6-poly
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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: 1.3876
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+ - Accuracy: 0.7167
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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-06
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: polynomial
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 2112
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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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+ | 0.5535 | 0.0838 | 177 | 0.6608 | 0.6 |
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+ | 0.2099 | 1.0838 | 354 | 0.6066 | 0.6967 |
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+ | 0.1234 | 2.0838 | 531 | 0.7195 | 0.71 |
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+ | 0.0375 | 3.0838 | 708 | 0.9196 | 0.7233 |
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+ | 0.0023 | 4.0838 | 885 | 1.1401 | 0.72 |
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+ | 0.0052 | 5.0838 | 1062 | 1.1748 | 0.73 |
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+ | 0.002 | 6.0838 | 1239 | 1.2629 | 0.7133 |
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+ | 0.0007 | 7.0838 | 1416 | 1.3239 | 0.7167 |
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+ | 0.0005 | 8.0838 | 1593 | 1.3644 | 0.7233 |
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+ | 0.0007 | 9.0838 | 1770 | 1.3876 | 0.7167 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.51.3
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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