35dc2da3-0828-49ed-afc3-96aa5b734f83

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: 0.3746

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	0.0004	1	0.4857
0.3779	0.0188	50	0.4184
0.3734	0.0376	100	0.4047
0.372	0.0564	150	0.3992
0.421	0.0752	200	0.3926
0.3759	0.0939	250	0.3851
0.3702	0.1127	300	0.3823
0.329	0.1315	350	0.3779
0.3325	0.1503	400	0.3753
0.3586	0.1691	450	0.3744
0.3685	0.1879	500	0.3746

Framework versions

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