CodePhi-3-mini-4k-instruct-pythonAPPSWOLORA

This model is a fine-tuned version of AdnanRiaz107/CodePhi-3-mini-4k-instruct-python on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5795

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: 5e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• training_steps: 1200

Training results

Training Loss	Epoch	Step	Validation Loss
0.6559	0.1667	200	0.6520
0.6709	0.3333	400	0.6225
0.5701	0.5	600	0.5980
0.5371	0.6667	800	0.5818
0.4926	0.8333	1000	0.5789
0.5058	1.0	1200	0.5795

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1