24705d52-156b-4e28-b51f-2fc0af70f53d

This model is a fine-tuned version of unsloth/Qwen2.5-1.5B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.6836

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: 0.000217
• train_batch_size: 4
• eval_batch_size: 4
• seed: 170
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0001	1	2.0997
1.9364	0.0484	500	1.9651
1.9288	0.0967	1000	1.9019
1.855	0.1451	1500	1.8360
1.7857	0.1934	2000	1.7777
1.7541	0.2418	2500	1.7334
1.7074	0.2902	3000	1.7023
1.7106	0.3385	3500	1.6865
1.6754	0.3869	4000	1.6836

Framework versions

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