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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
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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-ucf-crimevbinary-balanced
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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-ucf-crimevbinary-balanced
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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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+ - Loss: 0.3486
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+ - Accuracy: 0.8611
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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: 3e-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: Use 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_steps: 500
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+ - num_epochs: 30
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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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+ | 0.719 | 1.0 | 29 | 0.6348 | 0.6944 |
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+ | 0.5756 | 2.0 | 58 | 0.5475 | 0.75 |
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+ | 0.4718 | 3.0 | 87 | 0.4779 | 0.7778 |
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+ | 0.4986 | 4.0 | 116 | 0.4849 | 0.8056 |
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+ | 0.3705 | 5.0 | 145 | 0.4065 | 0.8056 |
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+ | 0.3042 | 6.0 | 174 | 0.5558 | 0.8333 |
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+ | 0.2333 | 7.0 | 203 | 0.4220 | 0.8889 |
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+ | 0.4724 | 8.0 | 232 | 0.2888 | 0.8333 |
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+ | 0.0119 | 9.0 | 261 | 0.5093 | 0.8889 |
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+ | 0.2417 | 10.0 | 290 | 0.7827 | 0.7778 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.0.dev0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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