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metadata
tags:
  - classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: clasificador-rottentomatoes
    results: []

clasificador-rottentomatoes

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0103
  • Accuracy: 0.4783

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: 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: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6937 1.0 853 0.8311 0.0
0.6578 2.0 1706 0.7352 0.6190
0.5328 3.0 2559 1.0103 0.4783

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2