distilgpt2-wikitext2

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

• Loss: 6.1909

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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
6.5971	1.0	2249	6.5187
6.2511	2.0	4498	6.2661
6.0996	3.0	6747	6.1909

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.1.0+cpu
• Datasets 2.16.1
• Tokenizers 0.15.1