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CharlesDeGaulle-GPT

This model is a fine-tuned version of antoinelouis/belgpt2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5619

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: 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: 8

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 26 2.9939
No log 2.0 52 2.7641
No log 3.0 78 2.6621
No log 4.0 104 2.6129
No log 5.0 130 2.5897
No log 6.0 156 2.5722
No log 7.0 182 2.5630
No log 8.0 208 2.5619

Framework versions

  • Transformers 4.21.0
  • Pytorch 1.12.1
  • Datasets 2.8.0
  • Tokenizers 0.12.1
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