Richard Saavedra
End of training
31f9a7d
metadata
tags:
  - generated_from_trainer
datasets:
  - amazon_reviews_multi
metrics:
  - accuracy
model-index:
  - name: electricidad-small-finetuned-amazon-review-classification
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: amazon_reviews_multi
          type: amazon_reviews_multi
          args: es
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.581

electricidad-small-finetuned-amazon-review-classification

This model is a fine-tuned version of mrm8488/electricidad-small-discriminator on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9601
  • Accuracy: 0.581

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: 8
  • eval_batch_size: 8
  • 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
1.0136 1.0 25000 1.0153 0.5414
0.9416 2.0 50000 0.9942 0.5576

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.0+cu111
  • Datasets 2.0.0
  • Tokenizers 0.11.6