fine_tuned_per_domain_balanced_32B

This model is a fine-tuned version of Qwen/Qwen1.5-32B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6914
• Accuracy: 0.2820

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: 5e-06
• train_batch_size: 1
• eval_batch_size: 1
• 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7717	0.0029	500	1.4951	0.8335
0.6914	0.0057	1000	0.6914	0.2820
0.6914	0.0086	1500	0.6914	0.2820
0.6914	0.0114	2000	0.6914	0.2820
0.6914	0.0143	2500	0.6914	0.2820

Framework versions

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