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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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+ model-index:
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+ - name: roberta-base-bne-finetuned-detests-ini
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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-ini
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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: 0.9922
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+ - Accuracy: 0.8576
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 10
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.3505 | 1.0 | 153 | 0.3533 | 0.8380 |
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+ | 0.3031 | 2.0 | 306 | 0.3637 | 0.8363 |
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+ | 0.0623 | 3.0 | 459 | 0.6493 | 0.8560 |
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+ | 0.0011 | 4.0 | 612 | 0.8077 | 0.8642 |
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+ | 0.0003 | 5.0 | 765 | 0.9070 | 0.8625 |
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+ | 0.0002 | 6.0 | 918 | 0.9381 | 0.8625 |
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+ | 0.0002 | 7.0 | 1071 | 0.9621 | 0.8592 |
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+ | 0.0001 | 8.0 | 1224 | 0.9787 | 0.8592 |
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+ | 0.0001 | 9.0 | 1377 | 0.9888 | 0.8576 |
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+ | 0.0001 | 10.0 | 1530 | 0.9922 | 0.8576 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
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