fine_tuned_yelp

This model is a fine-tuned version of Qwen/Qwen2-1.5B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2855
• Accuracy: 0.9328

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.927	0.0170	100	0.4956	0.7806
0.5634	0.0340	200	0.4637	0.8044
0.4876	0.0509	300	0.7024	0.8648
0.4179	0.0679	400	0.3941	0.8944
0.4397	0.0849	500	0.5622	0.8291
0.3985	0.1019	600	0.3185	0.8997
0.4607	0.1188	700	0.4404	0.8942
0.4023	0.1358	800	0.2967	0.9091
0.3185	0.1528	900	0.3033	0.8980
0.335	0.1698	1000	0.2653	0.9232
0.3665	0.1868	1100	0.2280	0.9246
0.3033	0.2037	1200	0.1975	0.9320
0.2578	0.2207	1300	0.2171	0.9341
0.3417	0.2377	1400	0.2497	0.9301
0.3222	0.2547	1500	0.2855	0.9328

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu126
• Datasets 3.3.2
• Tokenizers 0.21.0