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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/timesformer-base-finetuned-k400 |
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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: timesformer-base-finetuned-k400-finetuned-ElderReact-anger-balanced |
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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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# timesformer-base-finetuned-k400-finetuned-ElderReact-anger-balanced |
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This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8048 |
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- Accuracy: 0.5012 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.6923 | 0.1 | 25 | 0.8338 | 0.4601 | |
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| 0.6436 | 1.1 | 50 | 0.9187 | 0.5058 | |
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| 0.5464 | 2.1 | 75 | 0.8165 | 0.5313 | |
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| 0.4147 | 3.1 | 100 | 0.9950 | 0.5228 | |
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| 0.4483 | 4.1 | 125 | 1.0642 | 0.5080 | |
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| 0.3565 | 5.1 | 150 | 0.8611 | 0.5143 | |
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| 0.3114 | 6.1 | 175 | 0.9595 | 0.5186 | |
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| 0.3074 | 7.1 | 200 | 1.0242 | 0.5197 | |
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| 0.2888 | 8.1 | 225 | 1.1212 | 0.5069 | |
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| 0.2609 | 9.06 | 240 | 1.1119 | 0.5112 | |
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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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