rorschach-40/home-batch_3_5000-text-classification

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home-batch35000-text-classification

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

• —Loss: 0.5097
• —Precision: 0.8462
• —Recall: 0.8609
• —F1: 0.8534

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