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--- |
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license: cc-by-nc-4.0 |
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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: 0.2708 |
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- Accuracy: 0.9032 |
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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: 300 |
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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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| 0.7999 | 0.13 | 38 | 0.7968 | 0.7143 | |
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| 0.3574 | 1.13 | 76 | 0.6632 | 0.7571 | |
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| 0.1651 | 2.13 | 114 | 0.3926 | 0.8429 | |
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| 0.0843 | 3.13 | 152 | 0.3751 | 0.8714 | |
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| 0.1116 | 4.13 | 190 | 0.3232 | 0.9286 | |
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| 0.0123 | 5.13 | 228 | 0.1498 | 0.9429 | |
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| 0.0188 | 6.13 | 266 | 0.4283 | 0.9 | |
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| 0.0146 | 7.11 | 300 | 0.4197 | 0.9 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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