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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 +20 -20
  2. model.safetensors +1 -1
  3. runs/Jan19_14-49-17_fd24580f6931/events.out.tfevents.1705675761.fd24580f6931.1220.1 +3 -0
  4. training_args.bin +2 -2
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: 0.2939
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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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- - Accuracy: 0.9342
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  ## Model description
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@@ -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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- | 0.5006 | 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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  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: 0.9320
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+ - Precision: 0.8496
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+ - Recall: 0.8421
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+ - F1: 0.8447
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+ - Accuracy: 0.8421
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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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+ | 1.0443 | 1.0 | 48 | 1.0651 | 0.4994 | 0.5395 | 0.5025 | 0.5395 |
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+ | 0.6631 | 2.0 | 96 | 0.7343 | 0.7711 | 0.75 | 0.7472 | 0.75 |
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+ | 0.5366 | 3.0 | 144 | 0.5170 | 0.8766 | 0.8289 | 0.8327 | 0.8289 |
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+ | 0.3731 | 4.0 | 192 | 0.5171 | 0.8631 | 0.8421 | 0.8439 | 0.8421 |
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+ | 0.3123 | 5.0 | 240 | 0.6708 | 0.8646 | 0.8289 | 0.8343 | 0.8289 |
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+ | 0.3094 | 6.0 | 288 | 0.8981 | 0.8313 | 0.7763 | 0.7720 | 0.7763 |
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+ | 0.2438 | 7.0 | 336 | 0.7930 | 0.8238 | 0.8026 | 0.8020 | 0.8026 |
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+ | 0.2101 | 8.0 | 384 | 0.9481 | 0.8418 | 0.8289 | 0.8295 | 0.8289 |
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+ | 0.1366 | 9.0 | 432 | 1.0604 | 0.8489 | 0.8289 | 0.8283 | 0.8289 |
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+ | 0.114 | 10.0 | 480 | 0.7540 | 0.8676 | 0.8553 | 0.8530 | 0.8553 |
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+ | 0.0838 | 11.0 | 528 | 0.7312 | 0.8496 | 0.8421 | 0.8427 | 0.8421 |
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+ | 0.0255 | 12.0 | 576 | 0.9030 | 0.8496 | 0.8421 | 0.8427 | 0.8421 |
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+ | 0.0117 | 13.0 | 624 | 1.0963 | 0.8152 | 0.8026 | 0.8062 | 0.8026 |
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+ | 0.002 | 14.0 | 672 | 0.9323 | 0.8496 | 0.8421 | 0.8447 | 0.8421 |
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+ | 0.0015 | 15.0 | 720 | 0.9320 | 0.8496 | 0.8421 | 0.8447 | 0.8421 |
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  ### Framework versions
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