output

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.8244

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: 0.0008
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: polynomial
• lr_scheduler_warmup_steps: 250
• training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss
6.3395	0.8234	250	4.8014
4.1533	1.6468	500	3.5662
3.3043	2.4702	750	3.1928
2.9917	3.2935	1000	3.0270
2.7857	4.1169	1250	2.9342
2.6148	4.9403	1500	2.8687
2.4472	5.7637	1750	2.8384
2.332	6.5871	2000	2.8244

Framework versions

• Transformers 4.40.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1