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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-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: 0.3402 |
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- Accuracy: 0.9054 |
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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: 3530 |
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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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| 1.2221 | 0.0989 | 349 | 1.0476 | 0.6204 | |
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| 0.7062 | 1.0989 | 698 | 0.7049 | 0.7679 | |
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| 0.626 | 2.0989 | 1047 | 0.4938 | 0.8394 | |
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| 0.4414 | 3.0989 | 1396 | 0.5213 | 0.8365 | |
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| 0.4938 | 4.0989 | 1745 | 0.5057 | 0.8248 | |
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| 0.4516 | 5.0989 | 2094 | 0.4209 | 0.8730 | |
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| 0.2555 | 6.0989 | 2443 | 0.4210 | 0.8701 | |
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| 0.3595 | 7.0989 | 2792 | 0.3525 | 0.8993 | |
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| 0.2301 | 8.0989 | 3141 | 0.3473 | 0.9036 | |
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| 0.1837 | 9.0989 | 3490 | 0.3532 | 0.8949 | |
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| 0.3946 | 10.0113 | 3530 | 0.3517 | 0.8964 | |
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### Framework versions |
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- Transformers 4.44.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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