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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-groub23-24-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-groub23-24-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: 3.2558 |
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- Accuracy: 0.1463 |
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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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| 3.8674 | 0.14 | 11 | 3.6587 | 0.0488 | |
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| 3.7787 | 1.14 | 22 | 3.5948 | 0.1220 | |
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| 3.6605 | 2.14 | 33 | 3.5183 | 0.1220 | |
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| 3.6081 | 3.14 | 44 | 3.4284 | 0.1463 | |
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| 3.5543 | 4.14 | 55 | 3.3461 | 0.1463 | |
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| 3.4024 | 5.14 | 66 | 3.2865 | 0.1220 | |
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| 3.3301 | 6.14 | 77 | 3.2581 | 0.1463 | |
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| 3.3935 | 7.04 | 80 | 3.2558 | 0.1463 | |
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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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