DYG_DistillGPT2

This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4678

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: 0.001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	8	0.6735
No log	2.0	16	0.6331
No log	3.0	24	0.6168
No log	4.0	32	0.5801
No log	5.0	40	0.5487
No log	6.0	48	0.5625
No log	7.0	56	0.5189
No log	8.0	64	0.4941
No log	9.0	72	0.4708
No log	10.0	80	0.4678

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1