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End of training

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  1. README.md +7 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.4431
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  - Accuracy: 0.8182
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  ## Model description
@@ -44,16 +44,17 @@ 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: 112
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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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- | 0.7586 | 0.26 | 29 | 0.9480 | 0.6364 |
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- | 0.4057 | 1.26 | 58 | 1.0741 | 0.7273 |
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- | 0.1479 | 2.26 | 87 | 0.4383 | 0.8182 |
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- | 0.0165 | 3.22 | 112 | 0.4431 | 0.8182 |
 
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  ### Framework versions
 
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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: 0.4379
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  - Accuracy: 0.8182
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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: 140
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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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+ | 0.7789 | 0.21 | 29 | 0.7013 | 0.8182 |
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+ | 0.0557 | 1.21 | 58 | 1.4558 | 0.6364 |
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+ | 0.2449 | 2.21 | 87 | 0.4050 | 0.8182 |
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+ | 0.2604 | 3.21 | 116 | 0.3058 | 0.8182 |
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+ | 0.1159 | 4.17 | 140 | 0.4379 | 0.8182 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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