JackWong0911 commited on
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Model save

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README.md CHANGED
@@ -3,8 +3,6 @@ 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-kinetic400-subset-epoch6-num_frame_10_myViT
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  results: []
@@ -16,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT
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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: 0.3731
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- - Accuracy: 0.9412
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  ## Model description
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@@ -44,19 +39,7 @@ The following hyperparameters were used during training:
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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: 300
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.1507 | 0.17 | 50 | 0.4026 | 0.8889 |
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- | 0.0261 | 1.17 | 100 | 0.5326 | 0.8333 |
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- | 0.0047 | 2.17 | 150 | 0.3377 | 0.9167 |
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- | 0.0053 | 3.17 | 200 | 0.2018 | 0.9306 |
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- | 0.0006 | 4.17 | 250 | 0.2301 | 0.9028 |
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- | 0.0004 | 5.17 | 300 | 0.1563 | 0.9306 |
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-
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  ### Framework versions
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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-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT
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  results: []
 
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  # timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT
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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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  - 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: 500
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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