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distilgpt2-finetuned-distilgpt2-med_articles

This model is a fine-tuned version of vishnun/distilgpt2-finetuned-distilgpt2-med_articles on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3171

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 65 3.3417
No log 2.0 130 3.3300
No log 3.0 195 3.3231
No log 4.0 260 3.3172
No log 5.0 325 3.3171

Framework versions

  • Transformers 4.9.2
  • Pytorch 1.9.0+cu102
  • Datasets 1.11.0
  • Tokenizers 0.10.3
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