Martin-Fierro

This model is a fine-tuned version of DeepESP/gpt2-spanish on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.6687

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: 2e-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: 15

Training results

Training Loss Epoch Step Validation Loss
3.9891 1.0 40 3.7897
3.4333 2.0 80 3.6631
3.25 3.0 120 3.6085
3.0732 4.0 160 3.5934
2.7839 5.0 200 3.5859
2.7496 6.0 240 3.5977
2.5405 7.0 280 3.6088
2.259 8.0 320 3.6209
2.3266 9.0 360 3.6279
2.1343 10.0 400 3.6405
2.1211 11.0 440 3.6489
1.9877 12.0 480 3.6576
1.9446 13.0 520 3.6644
1.9366 14.0 560 3.6667
1.9959 15.0 600 3.6687

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
Downloads last month
27
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.

Model tree for javier-rooster/Martin-Fierro

Finetuned
(70)
this model