0900e7a5-73f8-47e2-a32a-cb773e1c3b07

This model is a fine-tuned version of NousResearch/Genstruct-7B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2041

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: 0.000203
• 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	1.5990
2.7939	0.0186	50	1.6838
2.9597	0.0373	100	1.8249
2.8539	0.0559	150	1.6455
2.8926	0.0745	200	1.5433
2.635	0.0932	250	1.4782
2.6921	0.1118	300	1.3635
2.529	0.1305	350	1.2949
2.4737	0.1491	400	1.2365
2.5149	0.1677	450	1.2065
2.3197	0.1864	500	1.2041

Framework versions

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