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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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- f1 |
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model-index: |
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- name: videomae-base-finetuned-ElderReact-anger-balancedf1 |
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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-anger-balancedf1 |
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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: 0.7424 |
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- F1: 0.5798 |
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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: 240 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.7339 | 0.1 | 25 | 0.6865 | 0.4463 | |
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| 0.7007 | 1.1 | 50 | 0.7107 | 0.0476 | |
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| 0.6854 | 2.1 | 75 | 0.6994 | 0.4975 | |
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| 0.715 | 3.1 | 100 | 0.7238 | 0.1333 | |
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| 0.6866 | 4.1 | 125 | 0.7563 | 0.0195 | |
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| 0.6564 | 5.1 | 150 | 0.7628 | 0.1564 | |
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| 0.5809 | 6.1 | 175 | 0.7543 | 0.3831 | |
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| 0.6035 | 7.1 | 200 | 0.7983 | 0.2122 | |
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| 0.6153 | 8.1 | 225 | 0.7542 | 0.4063 | |
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| 0.5099 | 9.06 | 240 | 0.7408 | 0.4526 | |
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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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