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Model save
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README.md
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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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model-index:
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- name: timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window3_more_data_b4
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results: []
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# timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window3_more_data_b4
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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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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 372
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### Framework versions
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- Transformers 4.38.2
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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-kinetic400-subset-epoch6-num_frame_10_myViT2window3_more_data_b4
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results: []
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# timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window3_more_data_b4
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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: 0.1298
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- Accuracy: 0.96
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 372
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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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| 0.2031 | 0.17 | 63 | 0.1295 | 0.97 |
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| 0.0389 | 1.17 | 126 | 0.3616 | 0.89 |
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| 0.0023 | 2.17 | 189 | 0.1584 | 0.97 |
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| 0.0026 | 3.17 | 252 | 0.2358 | 0.95 |
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| 0.0007 | 4.17 | 315 | 0.1724 | 0.97 |
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| 0.0014 | 5.15 | 372 | 0.1644 | 0.97 |
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### Framework versions
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- Transformers 4.38.2
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model.safetensors
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