gpt2-pretrained-lichess-uci-finetuned-lichess-uci

This model is a Pretrained GPT-2 trained on an the Lichess UCI dataset from Feb 2013. It achieves the following results on the evaluation set:

  • Loss: 1.3084

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: 0.0002
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 6

Training results

Training Loss Epoch Step Validation Loss
1.6794 1.0 4099 1.5886
1.5251 2.0 8198 1.4533
1.429 3.0 12297 1.3812
1.3611 4.0 16396 1.3369
1.3108 5.0 20495 1.3135
1.2809 6.0 24594 1.3084

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.3.0
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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