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Training in progress, epoch 1

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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-new_or_used_title-gpu
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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-new_or_used_title-gpu
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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: 0.3991
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+ - Accuracy: 0.8523
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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: 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 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.3808 | 1.0 | 5000 | 0.3612 | 0.8427 |
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+ | 0.2391 | 2.0 | 10000 | 0.3991 | 0.8523 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.1
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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+ "layer_norm_eps": 1e-05,
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+ "num_attention_heads": 12,
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+ "problem_type": "single_label_classification",
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