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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-groub17-18-finetuned-SLT-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-groub17-18-finetuned-SLT-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: 3.3355 |
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- Accuracy: 0.15 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 80 |
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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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| 3.8754 | 0.12 | 10 | 3.6717 | 0.025 | |
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| 3.8213 | 1.12 | 20 | 3.6371 | 0.075 | |
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| 3.6971 | 2.12 | 30 | 3.5895 | 0.1 | |
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| 3.6178 | 3.12 | 40 | 3.5167 | 0.1 | |
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| 3.5443 | 4.12 | 50 | 3.4414 | 0.1 | |
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| 3.4708 | 5.12 | 60 | 3.3851 | 0.125 | |
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| 3.3944 | 6.12 | 70 | 3.3487 | 0.125 | |
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| 3.3454 | 7.12 | 80 | 3.3355 | 0.15 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0+cpu |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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