distilgpt2-finetuned-radar

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

• Loss: 3.0715

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
3.5799	1.0	816	3.1648
3.1734	2.0	1632	3.0908
3.1216	3.0	2448	3.0715

Framework versions

• Transformers 4.31.0
• Pytorch 1.13.0a0+d0d6b1f
• Datasets 2.14.0
• Tokenizers 0.13.3