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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 +12 -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: 0.0666
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- - Accuracy: 0.8773
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- - F1: 0.6970
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- - Precision: 0.6571
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- - Recall: 0.7419
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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: 85
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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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- | 0.1757 | 1.0 | 95 | 0.1019 | 0.8160 | 0.6154 | 0.5106 | 0.7742 |
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- | 0.0839 | 2.0 | 190 | 0.0634 | 0.8896 | 0.7097 | 0.7097 | 0.7097 |
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- | 0.0433 | 3.0 | 285 | 0.0606 | 0.8650 | 0.6667 | 0.6286 | 0.7097 |
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- | 0.0284 | 4.0 | 380 | 0.0659 | 0.8650 | 0.6765 | 0.6216 | 0.7419 |
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- | 0.0237 | 5.0 | 475 | 0.0666 | 0.8773 | 0.6970 | 0.6571 | 0.7419 |
 
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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: 0.0299
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+ - Accuracy: 0.9080
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+ - F1: 0.7619
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+ - Precision: 0.75
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+ - Recall: 0.7742
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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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+ | 0.2105 | 1.0 | 95 | 0.1445 | 0.7914 | 0.32 | 0.4211 | 0.2581 |
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+ | 0.1483 | 2.0 | 190 | 0.0919 | 0.8650 | 0.6452 | 0.6452 | 0.6452 |
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+ | 0.095 | 3.0 | 285 | 0.0521 | 0.9202 | 0.7869 | 0.8 | 0.7742 |
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+ | 0.0505 | 4.0 | 380 | 0.0327 | 0.9018 | 0.7576 | 0.7143 | 0.8065 |
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+ | 0.0361 | 5.0 | 475 | 0.0309 | 0.8957 | 0.7302 | 0.7188 | 0.7419 |
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+ | 0.0305 | 6.0 | 570 | 0.0299 | 0.9080 | 0.7619 | 0.75 | 0.7742 |
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  ### Framework versions
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