d10fef2c-144b-448e-8b26-47619c9c7b19

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: 2.1723

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: 0.000203
• 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	0.0000	1	3.5194
3.0277	0.0024	50	2.5561
2.455	0.0048	100	2.3826
2.3135	0.0072	150	2.3254
2.2838	0.0096	200	2.2657
2.2157	0.0120	250	2.2419
2.2709	0.0143	300	2.2174
2.2565	0.0167	350	2.1977
2.2064	0.0191	400	2.1808
2.1379	0.0215	450	2.1733
2.1484	0.0239	500	2.1723

Framework versions

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