amazon_domain_to_classification_test

This model is a fine-tuned version of BigTMiami/test_model on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3816
• Accuracy: 0.8538
• F1 Macro: 0.5005

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.06
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
0.3879	1.0	1563	0.3816	0.8538	0.5005

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2