7cf17d3f-f651-4c8e-aa52-d0e2f77c0e72

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

• Loss: 0.1060

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: 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	0.0005	1	0.3389
0.1967	0.0272	50	0.1469
0.6418	0.0544	100	0.1823
0.2147	0.0816	150	0.1364
0.4591	0.1088	200	0.1453
0.1612	0.1360	250	0.1354
0.4845	0.1632	300	0.1224
0.1837	0.1904	350	0.1175
0.534	0.2176	400	0.1064
0.1899	0.2448	450	0.1069
0.4517	0.2720	500	0.1060

Framework versions

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