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SharonTudi
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DIALOGUE_second_model

Text Classification
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Safetensors
bert
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End of training

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  1. README.md +16 -16
  2. model.safetensors +1 -1
  3. runs/Jan19_11-43-37_eab14bd28cfb/events.out.tfevents.1705664619.eab14bd28cfb.651.8 +3 -0
  4. runs/Jan19_12-04-06_eab14bd28cfb/events.out.tfevents.1705665848.eab14bd28cfb.651.10 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ 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: 0.5916
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  - Precision: 0.9421
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  - Recall: 0.9342
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  - F1: 0.9313
@@ -55,21 +55,21 @@ 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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- | 0.4622 | 1.0 | 48 | 0.1244 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
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- | 0.146 | 2.0 | 96 | 0.0625 | 0.9659 | 0.9605 | 0.9603 | 0.9605 |
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- | 0.0236 | 3.0 | 144 | 0.0720 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
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- | 0.0316 | 4.0 | 192 | 0.5084 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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- | 0.0066 | 5.0 | 240 | 0.5201 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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- | 0.0004 | 6.0 | 288 | 0.5124 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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- | 0.0003 | 7.0 | 336 | 0.5397 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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- | 0.0002 | 8.0 | 384 | 0.5557 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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- | 0.0002 | 9.0 | 432 | 0.5652 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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- | 0.0002 | 10.0 | 480 | 0.5737 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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- | 0.0002 | 11.0 | 528 | 0.5799 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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- | 0.0001 | 12.0 | 576 | 0.5850 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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- | 0.0001 | 13.0 | 624 | 0.5887 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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- | 0.0001 | 14.0 | 672 | 0.5909 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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- | 0.0001 | 15.0 | 720 | 0.5916 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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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: 0.2939
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  - Precision: 0.9421
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  - Recall: 0.9342
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  - F1: 0.9313
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.5006 | 1.0 | 48 | 0.1750 | 0.9637 | 0.9605 | 0.9604 | 0.9605 |
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+ | 0.1076 | 2.0 | 96 | 0.0804 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
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+ | 0.0642 | 3.0 | 144 | 0.4791 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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+ | 0.0338 | 4.0 | 192 | 0.3313 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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+ | 0.0009 | 5.0 | 240 | 0.4133 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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+ | 0.0027 | 6.0 | 288 | 0.3163 | 0.9149 | 0.9079 | 0.9051 | 0.9079 |
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+ | 0.001 | 7.0 | 336 | 0.2028 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
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+ | 0.0002 | 8.0 | 384 | 0.1937 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
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+ | 0.0054 | 9.0 | 432 | 0.2276 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
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+ | 0.0002 | 10.0 | 480 | 0.2981 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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+ | 0.0002 | 11.0 | 528 | 0.2909 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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+ | 0.0001 | 12.0 | 576 | 0.2927 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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+ | 0.0001 | 13.0 | 624 | 0.2941 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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+ | 0.0001 | 14.0 | 672 | 0.2943 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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+ | 0.0001 | 15.0 | 720 | 0.2939 | 0.9421 | 0.9342 | 0.9313 | 0.9342 |
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  ### Framework versions
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