d7b5b2c2-5f3b-4248-ba53-bb59a50d0527

This model is a fine-tuned version of unsloth/Qwen2.5-Coder-7B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0033

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: 0.000201
• train_batch_size: 4
• eval_batch_size: 4
• seed: 10
• 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	0.0002	1	0.7173
0.0277	0.0096	50	0.0078
0.0248	0.0191	100	0.0046
0.0764	0.0287	150	0.0037
0.0047	0.0382	200	0.0030
0.0179	0.0478	250	0.0041
0.0034	0.0574	300	0.0034
0.0009	0.0669	350	0.0033

Framework versions

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