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ribesstefano
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RuleBert-v0.3-k0

Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Italian
legal ruling
Generated from Trainer
Model card Files
xet
Metrics Community
ribesstefano commited on
Commit
73b2044
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1 Parent(s): bb62564

Initial version

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Files changed (4) hide show
  1. README.md +9 -6
  2. config.json +1 -1
  3. runs/Jan07_22-14-55_68142e52d7cf/events.out.tfevents.1704665704.68142e52d7cf.255.5 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [papluca/xlm-roberta-base-language-detection](https://huggingface.co/papluca/xlm-roberta-base-language-detection) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3548
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  - F1: 0.4972
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  - Roc Auc: 0.6720
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  - Accuracy: 0.0
@@ -53,11 +53,14 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | 0.422 | 0.06 | 250 | 0.3994 | 0.4972 | 0.6720 | 0.0 |
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- | 0.3606 | 0.12 | 500 | 0.3604 | 0.4972 | 0.6720 | 0.0 |
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- | 0.3333 | 0.19 | 750 | 0.3548 | 0.4972 | 0.6720 | 0.0 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [papluca/xlm-roberta-base-language-detection](https://huggingface.co/papluca/xlm-roberta-base-language-detection) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3650
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  - F1: 0.4972
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  - Roc Auc: 0.6720
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  - Accuracy: 0.0
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss | Roc Auc |
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+ |:-------------:|:-----:|:----:|:--------:|:------:|:---------------:|:-------:|
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+ | 0.422 | 0.06 | 250 | 0.0 | 0.4972 | 0.3994 | 0.6720 |
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+ | 0.3606 | 0.12 | 500 | 0.3604 | 0.4972 | 0.6720 | 0.0 |
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+ | 0.3333 | 0.19 | 750 | 0.3548 | 0.4972 | 0.6720 | 0.0 |
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+ | 0.3304 | 0.25 | 1000 | 0.3563 | 0.4972 | 0.6720 | 0.0 |
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+ | 0.3416 | 0.31 | 1250 | 0.3628 | 0.4972 | 0.6720 | 0.0 |
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+ | 0.3558 | 0.37 | 1500 | 0.3650 | 0.4972 | 0.6720 | 0.0 |
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "papluca/xlm-roberta-base-language-detection",
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  "architectures": [
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  "XLMRobertaForSequenceClassification"
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  ],
 
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  {
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+ "_name_or_path": "RuleBert-v0.3-k0",
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  "architectures": [
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  "XLMRobertaForSequenceClassification"
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  ],
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