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End of training

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  1. README.md +4 -4
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should 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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- - Loss: 1.7435
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  - Accuracy: 0.61
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  - Macro Precision: 0.5758
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  - Macro F1: 0.5770
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
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  | 1.7294 | 7.0 | 812 | 1.4863 | 0.6133 | 0.5784 | 0.5823 |
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  | 1.7294 | 8.0 | 928 | 1.5494 | 0.63 | 0.5924 | 0.5903 |
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  | 0.3290 | 9.0 | 1044 | 1.6099 | 0.61 | 0.5733 | 0.5776 |
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- | 0.3290 | 10.0 | 1160 | 1.6842 | 0.6167 | 0.5809 | 0.5817 |
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- | 0.3290 | 11.0 | 1276 | 1.7362 | 0.6233 | 0.5811 | 0.5848 |
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- | 0.3290 | 12.0 | 1392 | 1.7435 | 0.61 | 0.5758 | 0.5770 |
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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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+ - Loss: 1.7437
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  - Accuracy: 0.61
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  - Macro Precision: 0.5758
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  - Macro F1: 0.5770
 
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  | 1.7294 | 7.0 | 812 | 1.4863 | 0.6133 | 0.5784 | 0.5823 |
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  | 1.7294 | 8.0 | 928 | 1.5494 | 0.63 | 0.5924 | 0.5903 |
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  | 0.3290 | 9.0 | 1044 | 1.6099 | 0.61 | 0.5733 | 0.5776 |
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+ | 0.3290 | 10.0 | 1160 | 1.6845 | 0.6167 | 0.5809 | 0.5817 |
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+ | 0.3290 | 11.0 | 1276 | 1.7364 | 0.6233 | 0.5811 | 0.5848 |
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+ | 0.3290 | 12.0 | 1392 | 1.7437 | 0.61 | 0.5758 | 0.5770 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 437992460
 
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  version https://git-lfs.github.com/spec/v1
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  size 437992460