yacine-djm/fg-bert-sustainability-2e-5-0.01-32-20_augmented_60_percent_empty

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fg-bert-sustainability-2e-5-0.01-32-20augmented60percentempty

This model is a fine-tuned version of Raccourci/fairguest-bert on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0297
• —F1: 0.9175
• —Roc Auc: 0.9587
• —Accuracy: 0.9435

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 20

Training results

Framework versions

• —Transformers 4.30.2
• —Pytorch 2.0.0
• —Datasets 2.1.0
• —Tokenizers 0.13.3