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custom

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

  • Loss: 1.3280

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: 0.001
  • train_batch_size: 32
  • eval_batch_size: 48
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
1.5844 0.68 200 1.4102
1.4081 1.37 400 1.3670
1.3422 2.05 600 1.3424
1.2711 2.73 800 1.3310

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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