f1343a55-ea5b-4ee5-b0fa-aee22cd64ed5

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

• Loss: 0.1320

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: 0.000202
• 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	0.0011	1	2.6140
0.465	0.0544	50	0.5987
0.4137	0.1088	100	0.5497
0.2994	0.1631	150	0.4509
0.3535	0.2175	200	0.2948
0.203	0.2719	250	0.2723
0.4967	0.3263	300	0.2410
0.232	0.3806	350	0.2100
0.1905	0.4350	400	0.1442
0.2123	0.4894	450	0.1319
0.2352	0.5438	500	0.1320

Framework versions

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