b71756f9-650d-41c5-810e-abb3229833f0

This model is a fine-tuned version of peft-internal-testing/tiny-dummy-qwen2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 11.8823

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: 0.000211
• train_batch_size: 4
• eval_batch_size: 4
• seed: 110
• 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	0.0003	1	11.9280
11.9137	0.0170	50	11.9109
11.8865	0.0340	100	11.8964
11.8807	0.0509	150	11.8918
11.8772	0.0679	200	11.8880
11.8757	0.0849	250	11.8859
11.8741	0.1019	300	11.8843
11.8716	0.1188	350	11.8832
11.8703	0.1358	400	11.8825
11.8726	0.1528	450	11.8823
11.8714	0.1698	500	11.8823

Framework versions

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