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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: huggingface_sentiment_analysis
    results: []

huggingface_sentiment_analysis

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6742
  • Accuracy: 0.56
  • F1: 0.6452

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: 25
  • eval_batch_size: 25
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.12.0
  • Tokenizers 0.13.3