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clasificador-muchocine

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: 1.3601
  • Accuracy: 0.4826

Model description

Predict of cinema reviews.

Intended uses & limitations

Trained as part of machine learning module at university.

Training and evaluation data

Small project.

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 1.0 388 1.3546 0.4284
1.3676 2.0 776 1.2768 0.4723
0.9726 3.0 1164 1.3601 0.4826

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2
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Dataset used to train esoria3/clasificador-muchocine