gpt2TWI

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.0769

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: 2
• 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

Training results

Training Loss	Epoch	Step	Validation Loss
3.971	1.0	884	4.1424
2.9944	2.0	1768	4.0690
2.7402	3.0	2652	4.0769

Framework versions

• Transformers 4.41.2
• Pytorch 2.2.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1