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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-ca-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: catalan
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7611940298507462
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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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# roberta-base-ca-finetuned-mnli
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This model is a fine-tuned version of [BSC-TeMU/roberta-base-ca](https://huggingface.co/BSC-TeMU/roberta-base-ca) on the catalonia_independence dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6065
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- Accuracy: 0.7612
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 377 | 0.6311 | 0.7453 |
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| 0.7393 | 2.0 | 754 | 0.6065 | 0.7612 |
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| 0.5019 | 3.0 | 1131 | 0.6340 | 0.7547 |
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| 0.3837 | 4.0 | 1508 | 0.6777 | 0.7597 |
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| 0.3837 | 5.0 | 1885 | 0.7232 | 0.7582 |
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### Framework versions
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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
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