README.md

metadata

license: cc-by-4.0
tags:
  - generated_from_trainer
datasets:
  - amazon_reviews_multi
metrics:
  - accuracy
model_index:
  - name: roberta-base-bne-finetuned-amazon_reviews_multi-taller
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: amazon_reviews_multi
          type: amazon_reviews_multi
          args: es
        metric:
          name: Accuracy
          type: accuracy
          value: 0.91125
base_model: BSC-TeMU/roberta-base-bne

roberta-base-bne-finetuned-amazon_reviews_multi-taller

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: 0.2463
• Accuracy: 0.9113

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2474	1.0	125	0.2463	0.9113

Framework versions

• Transformers 4.9.2
• Pytorch 1.9.0+cu102
• Datasets 1.11.0
• Tokenizers 0.10.3