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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-ElderReact-Fear11 |
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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-ElderReact-Fear11 |
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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: 0.3036 |
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- Accuracy: 0.908 |
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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: 380 |
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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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| 0.4132 | 0.1 | 39 | 0.2544 | 0.9309 | |
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| 0.4058 | 1.1 | 78 | 0.2650 | 0.9309 | |
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| 0.351 | 2.1 | 117 | 0.3078 | 0.9309 | |
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| 0.399 | 3.1 | 156 | 0.2530 | 0.9309 | |
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| 0.3695 | 4.1 | 195 | 0.2489 | 0.9309 | |
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| 0.3783 | 5.1 | 234 | 0.2386 | 0.9309 | |
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| 0.3474 | 6.1 | 273 | 0.2566 | 0.9284 | |
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| 0.3682 | 7.1 | 312 | 0.2381 | 0.9309 | |
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| 0.2805 | 8.1 | 351 | 0.2404 | 0.9296 | |
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| 0.3692 | 9.08 | 380 | 0.2461 | 0.9284 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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