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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: 72
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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: 0.1763
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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: 72
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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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| 1.4033 | 0.18 | 13 | 0.5779 | 0.88 |
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| 0.3402 | 1.18 | 26 | 0.3390 | 0.84 |
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| 0.0426 | 2.18 | 39 | 0.2138 | 0.96 |
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| 0.0049 | 3.18 | 52 | 0.1808 | 0.92 |
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| 0.0029 | 4.18 | 65 | 0.1890 | 0.92 |
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| 0.0022 | 5.1 | 72 | 0.1893 | 0.92 |
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### Framework versions
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- Transformers 4.38.2
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model.safetensors
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