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MultiPRIDE-LGBT-Pretrain-it

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Luca Tedeschini commited on
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MultiPRIDE-LGBT-Pretrain-it

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  1. README.md +11 -14
  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: 0.1855
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- - Accuracy: 0.7669
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- - F1: 0.81
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- - Precision: 0.8020
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- - Recall: 0.8182
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  ## Model description
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@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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- - seed: 150
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  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - num_epochs: 10
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.1659 | 1.0 | 95 | 0.1178 | 0.6994 | 0.7066 | 0.8676 | 0.5960 |
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- | 0.0871 | 2.0 | 190 | 0.1135 | 0.7362 | 0.7650 | 0.8333 | 0.7071 |
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- | 0.0356 | 3.0 | 285 | 0.1231 | 0.7178 | 0.7356 | 0.8533 | 0.6465 |
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- | 0.007 | 4.0 | 380 | 0.1414 | 0.7546 | 0.8077 | 0.7706 | 0.8485 |
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- | 0.0021 | 5.0 | 475 | 0.1829 | 0.7607 | 0.8134 | 0.7727 | 0.8586 |
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- | 0.0004 | 6.0 | 570 | 0.1654 | 0.7423 | 0.7879 | 0.7879 | 0.7879 |
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- | 0.0001 | 7.0 | 665 | 0.1950 | 0.7546 | 0.8039 | 0.7810 | 0.8283 |
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- | 0.0001 | 8.0 | 760 | 0.1855 | 0.7669 | 0.81 | 0.8020 | 0.8182 |
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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: 0.1484
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+ - Accuracy: 0.7975
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+ - F1: 0.8290
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+ - Precision: 0.8511
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+ - Recall: 0.8081
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  ## Model description
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  - learning_rate: 2e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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+ - seed: 1337
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  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - num_epochs: 10
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.1493 | 1.0 | 95 | 0.1072 | 0.7607 | 0.7979 | 0.8191 | 0.7778 |
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+ | 0.0858 | 2.0 | 190 | 0.1384 | 0.8037 | 0.8545 | 0.7769 | 0.9495 |
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+ | 0.0225 | 3.0 | 285 | 0.1640 | 0.6626 | 0.6497 | 0.8793 | 0.5152 |
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+ | 0.0067 | 4.0 | 380 | 0.1414 | 0.7546 | 0.7826 | 0.8471 | 0.7273 |
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+ | 0.0008 | 5.0 | 475 | 0.1484 | 0.7975 | 0.8290 | 0.8511 | 0.8081 |
 
 
 
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  ### Framework versions
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