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End of training

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  1. README.md +14 -8
  2. model.safetensors +1 -1
  3. tokenizer.json +14 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5380
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- - Accuracy: 0.4375
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  ## Model description
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@@ -50,12 +50,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.7423 | 0.5 | 1 | 1.7043 | 0.1875 |
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- | 1.7528 | 1.0 | 2 | 1.6557 | 0.25 |
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- | 1.6015 | 1.5 | 3 | 1.5788 | 0.4375 |
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- | 1.3915 | 2.0 | 4 | 1.5623 | 0.5 |
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- | 1.5097 | 2.5 | 5 | 1.5541 | 0.4375 |
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- | 1.4174 | 3.0 | 6 | 1.5380 | 0.4375 |
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6214
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+ - Accuracy: 0.2812
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.5984 | 0.25 | 1 | 1.6315 | 0.1875 |
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+ | 1.6923 | 0.5 | 2 | 1.6576 | 0.1562 |
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+ | 1.687 | 0.75 | 3 | 1.6407 | 0.2188 |
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+ | 1.4926 | 1.0 | 4 | 1.6337 | 0.1875 |
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+ | 1.6151 | 1.25 | 5 | 1.6170 | 0.1875 |
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+ | 1.4544 | 1.5 | 6 | 1.6112 | 0.25 |
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+ | 1.3246 | 1.75 | 7 | 1.6068 | 0.2812 |
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+ | 1.3425 | 2.0 | 8 | 1.6180 | 0.25 |
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+ | 1.3521 | 2.25 | 9 | 1.6271 | 0.25 |
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+ | 1.2995 | 2.5 | 10 | 1.6251 | 0.25 |
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+ | 1.3522 | 2.75 | 11 | 1.6227 | 0.2812 |
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+ | 1.3706 | 3.0 | 12 | 1.6214 | 0.2812 |
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  ### Framework versions
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