68173a0e-e8fe-4a36-b5b3-ca662d211786

This model is a fine-tuned version of Qwen/Qwen1.5-14B-Chat on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9931

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: 0.000204
• 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	0.0001	1	1.6688
1.193	0.0071	50	1.2268
1.3047	0.0141	100	1.1552
1.2119	0.0212	150	1.1294
1.3406	0.0282	200	1.0920
1.0073	0.0353	250	1.0663
1.2706	0.0424	300	1.0320
0.9629	0.0494	350	1.0213
1.2682	0.0565	400	1.0008
0.9804	0.0636	450	0.9947
1.2467	0.0706	500	0.9931

Framework versions

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