bert-base-uncased-es-sentiment-analysis

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bert-base-uncased-es-sentiment-analysis

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

• Loss: 0.9713
• Accuracy: 0.7923

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: 5e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5.0

Training results

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1