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MultiPRIDE-DualEncoder-MainStage-it

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  1. README.md +13 -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: 0.2481
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- - Accuracy: 0.9571
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- - F1: 0.8772
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- - Precision: 0.9615
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- - Recall: 0.8065
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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: 42
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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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- | 0.703 | 1.0 | 95 | 0.5968 | 0.8466 | 0.3590 | 0.875 | 0.2258 |
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- | 0.5651 | 2.0 | 190 | 0.4460 | 0.9018 | 0.7333 | 0.7586 | 0.7097 |
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- | 0.4051 | 3.0 | 285 | 0.2983 | 0.9202 | 0.7869 | 0.8 | 0.7742 |
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- | 0.2546 | 4.0 | 380 | 0.2531 | 0.9448 | 0.8475 | 0.8929 | 0.8065 |
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- | 0.2111 | 5.0 | 475 | 0.2445 | 0.9571 | 0.8772 | 0.9615 | 0.8065 |
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- | 0.2201 | 6.0 | 570 | 0.2539 | 0.9509 | 0.8571 | 0.96 | 0.7742 |
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- | 0.2024 | 7.0 | 665 | 0.2577 | 0.9509 | 0.8571 | 0.96 | 0.7742 |
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- | 0.2162 | 8.0 | 760 | 0.2481 | 0.9571 | 0.8772 | 0.9615 | 0.8065 |
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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: 0.3345
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+ - Accuracy: 0.9141
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+ - F1: 0.7407
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+ - Precision: 0.8696
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+ - Recall: 0.6452
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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: 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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+ | 0.7188 | 1.0 | 95 | 0.5881 | 0.8405 | 0.4091 | 0.6923 | 0.2903 |
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+ | 0.5805 | 2.0 | 190 | 0.4346 | 0.8896 | 0.6667 | 0.7826 | 0.5806 |
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+ | 0.4433 | 3.0 | 285 | 0.3493 | 0.9141 | 0.7586 | 0.8148 | 0.7097 |
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+ | 0.3152 | 4.0 | 380 | 0.3066 | 0.9202 | 0.7797 | 0.8214 | 0.7419 |
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+ | 0.2758 | 5.0 | 475 | 0.3260 | 0.9080 | 0.7170 | 0.8636 | 0.6129 |
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+ | 0.2529 | 6.0 | 570 | 0.3228 | 0.9080 | 0.7273 | 0.8333 | 0.6452 |
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+ | 0.157 | 7.0 | 665 | 0.3345 | 0.9141 | 0.7407 | 0.8696 | 0.6452 |
 
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  ### Framework versions
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