c8038877-817b-4835-97ac-6a49b034bc00

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: 1.2725

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: 0.000215
• train_batch_size: 4
• eval_batch_size: 4
• seed: 150
• 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	0.0006	1	2.7593
1.0018	0.0288	50	1.4175
0.7892	0.0576	100	1.4868
0.8345	0.0864	150	1.5111
0.7475	0.1152	200	1.3708
0.7694	0.1441	250	1.3522
0.7995	0.1729	300	1.2939
0.7331	0.2017	350	1.2823
0.7806	0.2305	400	1.2758
0.7941	0.2593	450	1.2717
0.7293	0.2881	500	1.2725

Framework versions

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