t5-classification

This model is a fine-tuned version of google/flan-t5-xl on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5179
• Precision: 0.8404
• Recall: 0.81
• F1: 0.8165

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: 0.003
• train_batch_size: 32
• eval_batch_size: 32
• 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	Precision	Recall	F1
1.172	1.0	500	0.5179	0.8404	0.81	0.8165

Framework versions

• PEFT 0.15.2.dev0
• Transformers 4.51.0.dev0
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1