6ec8c0a6-9271-45aa-991a-e04d954862cb

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

• Loss: 2.3526

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: 0.000218
• 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	0.0003	1	4.3383
8.4653	0.0175	50	4.8734
7.8858	0.0350	100	4.0955
7.0513	0.0525	150	3.8240
5.6894	0.0700	200	3.5033
4.8366	0.0874	250	3.0843
3.1058	0.1049	300	2.8540
2.6306	0.1224	350	2.7197
2.1342	0.1399	400	2.4724
2.0011	0.1574	450	2.3540
1.5999	0.1749	500	2.3526

Framework versions

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