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--- |
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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: videomae-base-finetuned-kinetics-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-kinetics-finetuned-ucf101-subset |
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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: 1.2309 |
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- Accuracy: 0.9806 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 148 |
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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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| 2.2587 | 0.13 | 19 | 1.2644 | 1.0 | |
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| 0.6711 | 1.13 | 38 | 0.2098 | 1.0 | |
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| 0.1355 | 2.13 | 57 | 0.0465 | 1.0 | |
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| 0.0295 | 3.13 | 76 | 0.0431 | 0.9857 | |
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| 0.0155 | 4.13 | 95 | 0.0226 | 1.0 | |
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| 0.0175 | 5.13 | 114 | 0.0178 | 1.0 | |
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| 0.0168 | 6.13 | 133 | 0.0180 | 1.0 | |
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| 0.008 | 7.1 | 148 | 0.0184 | 1.0 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.11.0 |
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- Tokenizers 0.15.1 |
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