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End of training

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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. tokenizer.json +16 -2
README.md CHANGED
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.1824
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- - Start Accuracy: 0.42
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- - End Accuracy: 0.395
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- - Total Accuracy: 0.4075
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  ## Model description
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@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Start Accuracy | End Accuracy | Total Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:--------------:|
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- | 0.5718 | 1.0 | 88 | 4.1026 | 0.3467 | 0.375 | 0.3608 |
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- | 0.9598 | 2.0 | 176 | 3.1595 | 0.4167 | 0.405 | 0.4108 |
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- | 0.8439 | 3.0 | 264 | 3.1824 | 0.42 | 0.395 | 0.4075 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2438
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+ - Start Accuracy: 0.4667
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+ - End Accuracy: 0.4667
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+ - Total Accuracy: 0.4667
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Start Accuracy | End Accuracy | Total Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:--------------:|
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+ | 2.0713 | 1.0 | 88 | 2.5005 | 0.385 | 0.4033 | 0.3942 |
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+ | 1.6649 | 2.0 | 176 | 2.2952 | 0.4533 | 0.4483 | 0.4508 |
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+ | 1.2196 | 3.0 | 264 | 2.2438 | 0.4667 | 0.4667 | 0.4667 |
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  ### Framework versions
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