gpt2-walamakan / README.md
Karzan's picture
End of training
bd6f03e
metadata
license: apache-2.0
base_model: Karzan/gpt2-walamakan
tags:
  - generated_from_trainer
model-index:
  - name: gpt2-walamakan
    results: []

gpt2-walamakan

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

  • Loss: 7.1660

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: 3e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • 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
0.3556 0.98 23 7.1535
0.3519 2.0 47 7.1555
0.3407 2.94 69 7.1660

Framework versions

  • Transformers 4.32.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3