qwen_30B_brevity_tuned

This model is a fine-tuned version of Qwen/Qwen1.5-32B-Chat on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0879

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 30
• training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss
3.2559	1.0	10	3.1422
3.0615	2.0	20	2.8362
2.6919	3.0	30	2.4366
2.2914	4.0	40	2.0373
1.8444	5.0	50	1.5040
1.2158	6.0	60	0.8004
0.568	7.0	70	0.3102
0.2405	8.0	80	0.1604
0.1385	9.0	90	0.1139
0.1012	10.0	100	0.0966
0.0828	11.0	110	0.0920
0.0742	12.0	120	0.0918
0.0652	13.0	130	0.0914
0.0584	14.0	140	0.0906
0.05	15.0	150	0.0891
0.0439	16.0	160	0.0885
0.0368	17.0	170	0.0880
0.0317	18.0	180	0.0866
0.0256	19.0	190	0.0857
0.0213	20.0	200	0.0850
0.0176	21.0	210	0.0849
0.0153	22.0	220	0.0850
0.0136	23.0	230	0.0855
0.0124	24.0	240	0.0860
0.0118	25.0	250	0.0866
0.0113	26.0	260	0.0870
0.0109	27.0	270	0.0874
0.0107	28.0	280	0.0878
0.0103	29.0	290	0.0879
0.0101	30.0	300	0.0879

Framework versions

• PEFT 0.10.0
• Transformers 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1