README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - amazon_reviews_multi
metrics:
  - accuracy
model-index:
  - name: roberta-base-bne-finetuned-amazon_reviews_multi
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: amazon_reviews_multi
          type: amazon_reviews_multi
          config: es
          split: validation
          args: es
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9315

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: 0.2325
• Accuracy: 0.9315

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
0.1932	1.0	1250	0.1695	0.937
0.0983	2.0	2500	0.2325	0.9315

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu117
• Datasets 2.11.0
• Tokenizers 0.13.3