distilgpt2-finetuned-medical

This model is a fine-tuned version of vega6000/distilgpt2-finetuned-medical on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.6248

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	15	2.0817
No log	2.0	30	1.9431
No log	3.0	45	1.8487
No log	4.0	60	1.7761
No log	5.0	75	1.7253
No log	6.0	90	1.6875
No log	7.0	105	1.6574
No log	8.0	120	1.6385
No log	9.0	135	1.6288
No log	10.0	150	1.6248

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3