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SharonTudi
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DIALOGUE_two

Text Classification
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distilbert
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End of training

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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Jan25_15-54-45_dff45cbe4442/events.out.tfevents.1706198088.dff45cbe4442.192.3 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4550
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- - Precision: 1.0
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- - Recall: 1.0
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- - F1: 1.0
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- - Accuracy: 1.0
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  ## Model description
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@@ -55,15 +55,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 1.3568 | 0.31 | 15 | 1.3175 | 0.3179 | 0.3289 | 0.2267 | 0.3289 |
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- | 1.2708 | 0.62 | 30 | 1.1598 | 0.9327 | 0.9079 | 0.9047 | 0.9079 |
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- | 1.0979 | 0.94 | 45 | 0.9486 | 0.9875 | 0.9868 | 0.9868 | 0.9868 |
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- | 0.9095 | 1.25 | 60 | 0.7806 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.7481 | 1.56 | 75 | 0.6531 | 0.9659 | 0.9605 | 0.9603 | 0.9605 |
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- | 0.6818 | 1.88 | 90 | 0.5687 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.5853 | 2.19 | 105 | 0.5046 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.5118 | 2.5 | 120 | 0.4686 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.5369 | 2.81 | 135 | 0.4550 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3804
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+ - Precision: 0.9762
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+ - Recall: 0.9737
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+ - F1: 0.9736
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+ - Accuracy: 0.9737
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 1.3711 | 0.31 | 15 | 1.3213 | 0.5848 | 0.5132 | 0.4588 | 0.5132 |
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+ | 1.2829 | 0.62 | 30 | 1.1830 | 0.7679 | 0.7237 | 0.7027 | 0.7237 |
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+ | 1.1039 | 0.94 | 45 | 0.9695 | 0.8939 | 0.8158 | 0.8094 | 0.8158 |
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+ | 0.9122 | 1.25 | 60 | 0.7720 | 0.9499 | 0.9474 | 0.9473 | 0.9474 |
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+ | 0.7581 | 1.56 | 75 | 0.6220 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
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+ | 0.6483 | 1.88 | 90 | 0.5096 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
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+ | 0.5277 | 2.19 | 105 | 0.4330 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
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+ | 0.4708 | 2.5 | 120 | 0.4003 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
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+ | 0.4622 | 2.81 | 135 | 0.3804 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
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  ### Framework versions
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