pretrain-gpt2-large / README.md
antphb's picture
End of training
ae856a2
metadata
base_model: NlpHUST/gpt2-vietnamese
tags:
  - generated_from_trainer
model-index:
  - name: pretrain-gpt2-large
    results: []

pretrain-gpt2-large

This model is a fine-tuned version of NlpHUST/gpt2-vietnamese on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4155

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: 16
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 512
  • total_eval_batch_size: 2
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 70

Training results

Training Loss Epoch Step Validation Loss
3.0875 13.05 500 2.6828
2.5739 26.1 1000 2.5363
2.4573 39.15 1500 2.4643
2.3962 52.2 2000 2.4294
2.3662 65.25 2500 2.4155

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.13.3