README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - amazon_reviews_multi
metrics:
  - accuracy
base_model: BSC-TeMU/roberta-base-bne
model-index:
  - name: roberta-base-bne-finetuned-amazon_reviews_multi
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: amazon_reviews_multi
          type: amazon_reviews_multi
          args: es
        metrics:
          - type: accuracy
            value: 0.9325
            name: Accuracy

roberta-base-bne-finetuned-amazon_reviews_multi

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: 0.2368
• Accuracy: 0.9325

Model description

Modelo de prueba del curso NLP de 0 a 100 sesion 4

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
0.1919	1.0	1250	0.1690	0.933
0.0972	2.0	2500	0.2368	0.9325

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 1.18.4
• Tokenizers 0.11.6