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Training in progress epoch 3

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  1. README.md +3 -2
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@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.6238
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  - Train Accuracy: 0.455
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  - Validation Loss: 1.6094
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  - Validation Accuracy: 0.4550
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- - Epoch: 2
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  ## Model description
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@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
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  | 1.6365 | 0.465 | 1.6094 | 0.4650 | 0 |
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  | 1.6167 | 0.455 | 1.6094 | 0.4550 | 1 |
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  | 1.6238 | 0.455 | 1.6094 | 0.4550 | 2 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.6132
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  - Train Accuracy: 0.455
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  - Validation Loss: 1.6094
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  - Validation Accuracy: 0.4550
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+ - Epoch: 3
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  ## Model description
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  | 1.6365 | 0.465 | 1.6094 | 0.4650 | 0 |
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  | 1.6167 | 0.455 | 1.6094 | 0.4550 | 1 |
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  | 1.6238 | 0.455 | 1.6094 | 0.4550 | 2 |
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+ | 1.6132 | 0.455 | 1.6094 | 0.4550 | 3 |
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  ### Framework versions