rorschach-40/home-batch_5_5000-text-classification

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

home-batch55000-text-classification

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

• —Loss: 0.4296
• —Precision: 0.9145
• —Recall: 0.8629
• —F1: 0.8880

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
• —trainbatchsize: 10
• —evalbatchsize: 10
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

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