Naiate's picture
End of training
084563c
metadata
license: apache-2.0
base_model: studio-ousia/luke-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: luke-base-finetuned-enem
    results: []

luke-base-finetuned-enem

This model is a fine-tuned version of studio-ousia/luke-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6094
  • Accuracy: 0.2058

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 467 1.6094 0.2133
1.6184 2.0 934 1.6094 0.1854
1.6148 3.0 1401 1.6094 0.2058

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.14.1