home-batch_2_5000-text-classification

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4627
• Precision: 0.8169
• Recall: 0.9431
• F1: 0.8755

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: 0.0003
• train_batch_size: 10
• eval_batch_size: 10
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
No log	1.0	64	0.4787	0.7785	1.0	0.8754
0.4405	2.0	128	0.4627	0.8169	0.9431	0.8755

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2