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MultiPRIDE-DualEncoder-LPFT-it

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Luca Tedeschini commited on
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MultiPRIDE-DualEncoder-LPFT-it

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  1. README.md +10 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nickprock/setfit-italian-hate-speech](https://huggingface.co/nickprock/setfit-italian-hate-speech) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1746
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- - Accuracy: 0.2577
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- - F1: 0.3086
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- - Precision: 0.1875
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- - Recall: 0.8710
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  ## Model description
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@@ -56,12 +56,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.2785 | 1.0 | 95 | 0.2339 | 0.1902 | 0.3196 | 0.1902 | 1.0 |
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- | 0.2178 | 2.0 | 190 | 0.2053 | 0.1902 | 0.3196 | 0.1902 | 1.0 |
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- | 0.2017 | 3.0 | 285 | 0.1909 | 0.2025 | 0.3229 | 0.1925 | 1.0 |
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- | 0.1947 | 4.0 | 380 | 0.1832 | 0.2147 | 0.3191 | 0.1911 | 0.9677 |
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- | 0.1824 | 5.0 | 475 | 0.1779 | 0.2393 | 0.3187 | 0.1921 | 0.9355 |
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- | 0.1782 | 6.0 | 570 | 0.1746 | 0.2577 | 0.3086 | 0.1875 | 0.8710 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [nickprock/setfit-italian-hate-speech](https://huggingface.co/nickprock/setfit-italian-hate-speech) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0739
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+ - Accuracy: 0.8773
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+ - F1: 0.6774
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+ - Precision: 0.6774
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+ - Recall: 0.6774
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.1788 | 1.0 | 95 | 0.0812 | 0.8834 | 0.6667 | 0.7308 | 0.6129 |
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+ | 0.0527 | 2.0 | 190 | 0.0595 | 0.8896 | 0.7 | 0.7241 | 0.6774 |
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+ | 0.026 | 3.0 | 285 | 0.0712 | 0.8896 | 0.7 | 0.7241 | 0.6774 |
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+ | 0.0406 | 4.0 | 380 | 0.0708 | 0.8834 | 0.6885 | 0.7 | 0.6774 |
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+ | 0.0261 | 5.0 | 475 | 0.0739 | 0.8773 | 0.6774 | 0.6774 | 0.6774 |
 
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  ### Framework versions
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