c31e1869-da9d-41ef-8080-dcb6b13984d0

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0065

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: 0.000202
• train_batch_size: 4
• eval_batch_size: 4
• seed: 20
• 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	2.2305
0.0737	0.0128	50	0.0416
0.0726	0.0255	100	0.0248
0.0217	0.0383	150	0.0106
0.0383	0.0510	200	0.0106
0.0479	0.0638	250	0.0086
0.0428	0.0766	300	0.0089
0.0177	0.0893	350	0.0083
0.0077	0.1021	400	0.0070
0.0215	0.1148	450	0.0068
0.0178	0.1276	500	0.0065

Framework versions

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