clasificador-poemas / README.md
vapogore's picture
Training complete
16d0dd9 verified
metadata
base_model: mrm8488/electricidad-base-discriminator
tags:
  - classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: clasificador-poemas
    results: []

clasificador-poemas

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: 1.0585
  • Accuracy: 0.5475

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
No log 1.0 90 1.1543 0.5754
No log 2.0 180 1.1657 0.5754
No log 3.0 270 1.0585 0.5475

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0