59b83477-5ba1-4739-b78c-cbedc8892368

This model is a fine-tuned version of furiosa-ai/mlperf-gpt-j-6b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1109

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: 0.00021
• 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	0.0006	1	3.0639
0.0965	0.0283	50	0.2649
0.0247	0.0566	100	0.2555
0.0391	0.0849	150	0.1581
0.0199	0.1132	200	0.1424
0.0021	0.1415	250	0.1342
0.0081	0.1698	300	0.1215
0.0021	0.1981	350	0.1166
0.0126	0.2264	400	0.1123
0.0097	0.2547	450	0.1116
0.002	0.2830	500	0.1109

Framework versions

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