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End of training

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  2. model.safetensors +1 -1
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: RALL_RGBCROP_Aug16F-WD001
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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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+ # RALL_RGBCROP_Aug16F-WD001
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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: 1.1876
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+ - Accuracy: 0.7996
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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: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 3462
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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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+ | 0.4792 | 0.0835 | 289 | 0.5590 | 0.7157 |
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+ | 0.2392 | 1.0835 | 578 | 0.5009 | 0.7955 |
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+ | 0.0414 | 2.0835 | 867 | 0.6815 | 0.8016 |
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+ | 0.0484 | 3.0835 | 1156 | 0.8761 | 0.8016 |
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+ | 0.0032 | 4.0835 | 1445 | 0.9753 | 0.8139 |
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+ | 0.0004 | 5.0835 | 1734 | 1.0459 | 0.8057 |
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+ | 0.002 | 6.0835 | 2023 | 1.1537 | 0.7914 |
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+ | 0.0002 | 7.0835 | 2312 | 1.1430 | 0.8016 |
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+ | 0.0002 | 8.0835 | 2601 | 1.1876 | 0.7996 |
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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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