772a6804-25cc-4f73-ba2e-f50ee0922798

This model is a fine-tuned version of unsloth/Qwen2.5-Coder-1.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0305

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: 0.000206
• train_batch_size: 4
• eval_batch_size: 4
• seed: 60
• 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	6.9339
0.2029	0.0135	50	0.2581
0.0835	0.0270	100	0.1328
0.0584	0.0405	150	0.1397
0.0556	0.0540	200	0.0681
0.0462	0.0675	250	0.0530
0.0447	0.0810	300	0.0546
0.0226	0.0945	350	0.0384
0.0376	0.1080	400	0.0362
0.0299	0.1215	450	0.0336
0.0198	0.1350	500	0.0305

Framework versions

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