distilgpt2-finetuned-wikitext2

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

• Loss: 4.3338

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
4.1185	1.0	2334	3.9940
4.4224	2.0	4668	4.2165
4.605	3.0	7002	4.3338

Framework versions

• Transformers 4.52.2
• Pytorch 2.6.0+cu124
• Datasets 2.15.0
• Tokenizers 0.21.1