5adb22a5-f5a4-41e7-a732-7d8ed9d748c3

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

• Loss: 0.2818

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: 0.000206
• 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	0.0001	1	0.6806
0.2631	0.0071	50	0.3307
0.236	0.0142	100	0.3108
0.2535	0.0213	150	0.3059
0.2451	0.0284	200	0.2997
0.2569	0.0355	250	0.2968
0.2636	0.0426	300	0.2908
0.2458	0.0497	350	0.2862
0.2307	0.0568	400	0.2840
0.24	0.0638	450	0.2820
0.2344	0.0709	500	0.2818

Framework versions

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