my_awesome_DistilGPT2-model

This model is a fine-tuned version of DistilGPT2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.5034

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
1.6061	1.0	694	1.5355
1.578	2.0	1388	1.5155
1.5646	3.0	2082	1.5034

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1