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End of training

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  1. README.md +5 -4
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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6607
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- - Accuracy: 0.7136
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  ## Model description
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@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 5
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  ### Training results
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@@ -53,7 +53,8 @@ The following hyperparameters were used during training:
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  | 0.6949 | 2.0 | 540 | 0.6968 | 0.6960 |
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  | 0.6949 | 3.0 | 810 | 0.7038 | 0.6750 |
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  | 0.5696 | 4.0 | 1080 | 0.7185 | 0.6674 |
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- | 0.5696 | 5.0 | 1350 | 0.6607 | 0.7136 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6531
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+ - Accuracy: 0.7206
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 6
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  ### Training results
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  | 0.6949 | 2.0 | 540 | 0.6968 | 0.6960 |
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  | 0.6949 | 3.0 | 810 | 0.7038 | 0.6750 |
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  | 0.5696 | 4.0 | 1080 | 0.7185 | 0.6674 |
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+ | 0.5696 | 5.0 | 1350 | 0.7136 | 0.6607 |
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+ | 0.49 | 6.0 | 1620 | 0.6531 | 0.7206 |
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  ### Framework versions