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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - catalonia_independence
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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-mnli
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: catalonia_independence
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+ type: catalonia_independence
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+ args: spanish
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.7880893300248138
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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-mnli
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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 catalonia_independence dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9415
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+ - Accuracy: 0.7881
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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: 5
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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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+ | No log | 1.0 | 378 | 0.5534 | 0.7558 |
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+ | 0.6089 | 2.0 | 756 | 0.5315 | 0.7643 |
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+ | 0.2678 | 3.0 | 1134 | 0.7336 | 0.7816 |
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+ | 0.0605 | 4.0 | 1512 | 0.8809 | 0.7866 |
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+ | 0.0605 | 5.0 | 1890 | 0.9415 | 0.7881 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.11.3
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+ - Pytorch 1.9.0+cu111
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+ - Datasets 1.12.1
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+ - Tokenizers 0.10.3