49f46caa-1940-4652-9702-6d546ecfa46e

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: 3.2472

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: 0.000205
• train_batch_size: 4
• eval_batch_size: 4
• seed: 50
• 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	5.5799
3.6685	0.0008	50	4.1354
3.1909	0.0016	100	4.0463
3.231	0.0025	150	3.5951
3.3799	0.0033	200	3.5926
3.2732	0.0041	250	3.4808
3.3626	0.0049	300	3.3548
3.2574	0.0057	350	3.2804
3.4797	0.0065	400	3.2539
3.2925	0.0074	450	3.2499
3.3063	0.0082	500	3.2472

Framework versions

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