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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: Matcha_clips_224_fintuned_4
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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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+ # Matcha_clips_224_fintuned_4
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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: 1.1279
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+ - Accuracy: 0.7765
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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: 4
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+ - eval_batch_size: 4
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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: 1030
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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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+ | 1.3871 | 0.1010 | 104 | 1.5499 | 0.4471 |
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+ | 0.5686 | 1.1010 | 208 | 0.8498 | 0.7176 |
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+ | 0.2109 | 2.1010 | 312 | 1.0385 | 0.7529 |
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+ | 0.0119 | 3.1010 | 416 | 1.0114 | 0.7529 |
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+ | 0.0146 | 4.1010 | 520 | 1.0189 | 0.8 |
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+ | 0.0012 | 5.1010 | 624 | 1.1411 | 0.7294 |
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+ | 0.0009 | 6.1010 | 728 | 1.1089 | 0.7647 |
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+ | 0.0009 | 7.1010 | 832 | 1.1220 | 0.7765 |
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+ | 0.0009 | 8.1010 | 936 | 1.1265 | 0.7765 |
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+ | 0.0006 | 9.0913 | 1030 | 1.1279 | 0.7765 |
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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 2.3.1+cu121
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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