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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-Disgust11 |
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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-Disgust11 |
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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: 0.4435 |
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- Accuracy: 0.84 |
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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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| 0.5481 | 0.1 | 39 | 0.4982 | 0.8003 | |
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| 0.5849 | 1.1 | 78 | 0.5341 | 0.7877 | |
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| 0.4385 | 2.1 | 117 | 0.5429 | 0.7952 | |
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| 0.4998 | 3.1 | 156 | 0.5279 | 0.7977 | |
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| 0.4388 | 4.1 | 195 | 0.5301 | 0.7475 | |
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| 0.5161 | 5.1 | 234 | 0.5100 | 0.7952 | |
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| 0.3919 | 6.1 | 273 | 0.6200 | 0.6658 | |
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| 0.4039 | 7.1 | 312 | 0.6265 | 0.6847 | |
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| 0.4199 | 8.1 | 351 | 0.7621 | 0.5678 | |
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| 0.4675 | 9.08 | 380 | 0.5825 | 0.7023 | |
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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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