4bcddbcf-4281-41b1-a833-10972465d35a

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7785

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: 0.000206
• train_batch_size: 4
• eval_batch_size: 4
• seed: 60
• 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	0.0008	1	1.3634
1.1513	0.0422	50	0.9595
1.0255	0.0845	100	0.8725
1.0269	0.1267	150	0.9712
1.0007	0.1690	200	0.8601
1.0251	0.2112	250	0.8510
1.0061	0.2535	300	0.8201
0.8437	0.2957	350	0.7942
0.9391	0.3380	400	0.7827
0.7186	0.3802	450	0.7775
0.7295	0.4225	500	0.7785

Framework versions

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