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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-crimev3 |
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results: [] |
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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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# videomae-base-finetuned-ucf-crimev3 |
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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: 2.2215 |
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- Accuracy: 0.3545 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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- training_steps: 1230 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.2429 | 1.0 | 42 | 1.8114 | 0.3091 | |
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| 1.2691 | 2.0 | 84 | 1.8293 | 0.3273 | |
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| 0.9197 | 3.0 | 126 | 1.8547 | 0.3364 | |
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| 0.9611 | 4.0 | 168 | 1.8772 | 0.3455 | |
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| 0.848 | 5.0 | 210 | 1.8690 | 0.3636 | |
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| 1.0474 | 6.0 | 252 | 1.8581 | 0.3636 | |
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| 0.7281 | 7.0 | 294 | 1.9003 | 0.3909 | |
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| 0.6033 | 8.0 | 336 | 2.0023 | 0.3364 | |
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| 0.3703 | 9.0 | 378 | 2.1459 | 0.3364 | |
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| 0.4539 | 10.0 | 420 | 2.2215 | 0.3545 | |
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### Framework versions |
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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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