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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: BSC-TeMU/roberta-base-bne
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - precision
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+ - recall
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+ model-index:
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+ - name: roberta-base-bne-finetuned-detests-wandb24
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # roberta-base-bne-finetuned-detests-wandb24
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+
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+ This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4065
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+ - Accuracy: 0.8527
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+ - F1-score: 0.7826
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+ - Precision: 0.7945
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+ - Recall: 0.7727
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+ - Auc: 0.7727
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
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+ | 0.3296 | 1.0 | 77 | 0.3456 | 0.8543 | 0.7671 | 0.8142 | 0.7408 | 0.7408 |
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+ | 0.1555 | 2.0 | 154 | 0.4065 | 0.8527 | 0.7826 | 0.7945 | 0.7727 | 0.7727 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.1
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