72952ca0-451c-4423-9216-656f7a06e0ad

This model is a fine-tuned version of unsloth/Qwen2-7B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0723

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: 0.00021
• 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	0.0007	1	1.3709
2.2731	0.0349	50	1.2975
2.3175	0.0698	100	1.2718
2.1598	0.1047	150	1.2168
1.9828	0.1397	200	1.1950
2.2842	0.1746	250	1.1481
1.9591	0.2095	300	1.1187
2.2914	0.2444	350	1.0989
2.3416	0.2793	400	1.0803
2.3677	0.3142	450	1.0730
2.1401	0.3492	500	1.0723

Framework versions

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