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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_new |
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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_new |
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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: 0.2017 |
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- Accuracy: 0.9419 |
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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: 4e-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: 0.2 |
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- training_steps: 296 |
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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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| 2.3017 | 0.1284 | 38 | 2.2057 | 0.1143 | |
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| 1.7529 | 1.1284 | 76 | 1.5770 | 0.4571 | |
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| 0.738 | 2.1284 | 114 | 0.7969 | 0.7571 | |
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| 0.4054 | 3.1284 | 152 | 0.4407 | 0.8143 | |
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| 0.1165 | 4.1284 | 190 | 0.3495 | 0.8429 | |
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| 0.1328 | 5.1284 | 228 | 0.1444 | 0.9571 | |
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| 0.0875 | 6.1284 | 266 | 0.0864 | 0.9857 | |
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| 0.0347 | 7.1014 | 296 | 0.0651 | 0.9857 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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