cf51c970-094c-4494-bfbc-1d6e01de1e5b

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: 0.5592

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	0.0004	1	1.4701
0.8127	0.0218	50	0.7420
0.7869	0.0437	100	0.7172
0.7693	0.0655	150	0.6929
0.7158	0.0874	200	0.6494
0.7413	0.1092	250	0.6250
0.6519	0.1311	300	0.6018
0.6274	0.1529	350	0.5889
0.6412	0.1748	400	0.5719
0.6451	0.1966	450	0.5611
0.6029	0.2185	500	0.5592

Framework versions

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