roberta-base-bne-clasificacion-de-texto-supervisado
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 0.2263
- Accuracy: 0.9335
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1934 | 1.0 | 1250 | 0.1700 | 0.9327 |
| 0.1031 | 2.0 | 2500 | 0.2263 | 0.9335 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
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Dataset used to train oskrmiguel/roberta-base-bne-clasificacion-de-texto-supervisado
Evaluation results
- Accuracy on amazon_reviews_multiself-reported0.933