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End of training

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README.md CHANGED
@@ -3,6 +3,8 @@ license: mit
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  base_model: google/vivit-b-16x2-kinetics400
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: vivit-b-16x2-kinetics400-finetuned-ucf101-subset
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  results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # vivit-b-16x2-kinetics400-finetuned-ucf101-subset
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  This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -41,6 +46,14 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_ratio: 0.1
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  - training_steps: 20
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  ### Framework versions
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  - Transformers 4.36.2
 
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  base_model: google/vivit-b-16x2-kinetics400
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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: vivit-b-16x2-kinetics400-finetuned-ucf101-subset
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  results: []
 
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  # vivit-b-16x2-kinetics400-finetuned-ucf101-subset
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  This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 991262442243755631422586792733310976.0000
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+ - Accuracy: 0.5455
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  ## Model description
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  - lr_scheduler_warmup_ratio: 0.1
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  - training_steps: 20
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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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+ | 872310942836251954510729370121797632.0000 | 0.5 | 10 | 991262442243755631422586792733310976.0000 | 0.5455 |
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+ | 872310942836251954510729370121797632.0000 | 1.5 | 20 | 991262442243755631422586792733310976.0000 | 0.5455 |
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+
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+
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  ### Framework versions
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  - Transformers 4.36.2
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