0406201a-0039-40c8-9539-f43b383c81f3

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: 1.1476

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: 0.000212
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• 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	0.0004	1	2.6786
4.9457	0.0210	50	1.9975
3.3839	0.0421	100	1.5138
2.8604	0.0631	150	1.3500
2.6522	0.0842	200	1.2661
2.4261	0.1052	250	1.2207
2.3315	0.1263	300	1.1911
2.3792	0.1473	350	1.1628
2.336	0.1684	400	1.1533
2.3392	0.1894	450	1.1485
2.2532	0.2104	500	1.1476

Framework versions

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