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metadata
library_name: transformers
license: mit
base_model: belisards/congretimbau3
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - recall
  - precision
model-index:
  - name: modelos
    results: []

modelos

This model is a fine-tuned version of belisards/congretimbau3 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5892
  • Accuracy: 0.8155
  • F1: 0.7939
  • Recall: 0.7935
  • Precision: 0.8063

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 5151
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 8

Training results

Framework versions

  • Transformers 4.45.1
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.0