080df56e-0c26-4dfe-8721-4e500be28a95

This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.2607

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: 2
• eval_batch_size: 2
• seed: 170
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0002	1	2.4225
9.0492	0.0076	50	2.3960
9.8507	0.0151	100	2.3403
9.5135	0.0227	150	2.3134
9.2993	0.0302	200	2.2947
9.1432	0.0378	250	2.2810
9.3859	0.0453	300	2.2717
9.5146	0.0529	350	2.2661
8.8903	0.0604	400	2.2625
9.3279	0.0680	450	2.2614
9.336	0.0755	500	2.2607

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1