8c04c970-2941-4ba7-a3c2-e8460ef68050

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: 1.5883

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	0.0001	1	3.2982
1.8912	0.0038	50	1.9631
1.7767	0.0075	100	1.8898
2.0029	0.0113	150	1.8654
1.7747	0.0151	200	1.8010
1.7229	0.0188	250	1.7331
1.7988	0.0226	300	1.6708
1.7717	0.0264	350	1.6374
1.7783	0.0301	400	1.6062
1.8255	0.0339	450	1.5903
1.7217	0.0377	500	1.5883

Framework versions

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