poltextlab
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README.md
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@@ -71,7 +71,7 @@ predicted = pd.DataFrame(np.argmax(probs, axis=1)).replace({0: CAP_NUM_DICT}).re
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### Fine-tuning procedure
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`xlm-roberta-large-english-legal-cap` was fine-tuned using the Hugging Face Trainer class with the following hyperparameters:
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```
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training_args = TrainingArguments(
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output_dir=f"../model/{model_dir}/tmp/",
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logging_dir=f"../logs/{model_dir}/",
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### Fine-tuning procedure
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`xlm-roberta-large-english-legal-cap` was fine-tuned using the Hugging Face Trainer class with the following hyperparameters:
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```python
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training_args = TrainingArguments(
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output_dir=f"../model/{model_dir}/tmp/",
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logging_dir=f"../logs/{model_dir}/",
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