97610a03-df2b-4d9f-8b87-c0223ade4417

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

• Loss: 0.4364

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	0.0001	1	0.7389
0.6312	0.0032	50	0.5007
0.5884	0.0064	100	0.4744
0.6015	0.0096	150	0.4661
0.5504	0.0127	200	0.4570
0.575	0.0159	250	0.4513
0.5405	0.0191	300	0.4454
0.5708	0.0223	350	0.4408
0.5881	0.0255	400	0.4382
0.503	0.0287	450	0.4367
0.5542	0.0319	500	0.4364

Framework versions

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