68c67ce7-b6a5-4759-ba42-2c52ea9eeed6

This model is a fine-tuned version of NousResearch/CodeLlama-13b-hf-flash on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2815

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: 0.000211
• train_batch_size: 4
• eval_batch_size: 4
• seed: 110
• 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	0.0000	1	2.2918
2.9203	0.0024	50	1.6734
3.0976	0.0047	100	1.4942
2.8863	0.0071	150	1.4520
2.7515	0.0094	200	1.4065
3.0164	0.0118	250	1.3919
2.7896	0.0141	300	1.3193
2.9309	0.0165	350	1.2956
2.8137	0.0188	400	1.2852
2.8594	0.0212	450	1.2822
2.8527	0.0235	500	1.2815

Framework versions

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