polynomial_2000_1e-3_16b_w0.075

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

• Loss: 2.8163

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
• 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
6.2211	0.9116	250	4.7231
4.0225	1.8232	500	3.4634
3.2171	2.7347	750	3.1355
2.8923	3.6463	1000	2.9862
2.6796	4.5579	1250	2.9034
2.4887	5.4695	1500	2.8586
2.3317	6.3810	1750	2.8339
2.193	7.2926	2000	2.8163

Framework versions

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