gpt2englishtest

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

• Loss: 6.6212

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: 5e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
7.8317	0.1053	500	7.1242
6.9745	0.2105	1000	6.9016
6.8446	0.3158	1500	6.8369
6.8151	0.4211	2000	6.7624
6.7682	0.5263	2500	6.7098
6.649	0.6316	3000	6.6692
6.6605	0.7368	3500	6.6500
6.6769	0.8421	4000	6.6297
6.6074	0.9474	4500	6.6212

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1