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--- |
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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-ucf101-subset |
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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-ucf101-subset |
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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: 0.0480 |
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- Accuracy: 0.9857 |
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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: 5e-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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 600 |
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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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| 2.2995 | 0.06 | 38 | 2.1143 | 0.3 | |
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| 1.6428 | 1.06 | 76 | 1.5030 | 0.3429 | |
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| 0.6261 | 2.06 | 114 | 0.8121 | 0.6286 | |
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| 0.4044 | 3.06 | 152 | 0.4910 | 0.7714 | |
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| 0.3236 | 4.06 | 190 | 0.4558 | 0.8714 | |
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| 0.1865 | 5.06 | 228 | 0.6773 | 0.8 | |
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| 0.1479 | 6.06 | 266 | 0.1813 | 0.9571 | |
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| 0.0418 | 7.06 | 304 | 0.1312 | 0.9714 | |
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| 0.0718 | 8.06 | 342 | 0.2473 | 0.9286 | |
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| 0.0596 | 9.06 | 380 | 0.1378 | 0.9714 | |
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| 0.0079 | 10.06 | 418 | 0.0308 | 0.9857 | |
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| 0.0134 | 11.06 | 456 | 0.0329 | 1.0 | |
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| 0.0083 | 12.06 | 494 | 0.0310 | 1.0 | |
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| 0.0394 | 13.06 | 532 | 0.0543 | 0.9714 | |
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| 0.004 | 14.06 | 570 | 0.0492 | 0.9857 | |
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| 0.0043 | 15.05 | 600 | 0.0480 | 0.9857 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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