DL-Project/hatespeech_wav2vec2

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hatespeech_wav2vec2

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6562
• —Accuracy: 0.6216
• —Recall: 0.7853
• —Precision: 0.5990
• —F1: 0.6796

It achieves the following results on the test set:

• —Loss: 0.6597
• —Accuracy: 0.6192
• —Recall: 0.7822
• —Precision: 0.5944
• —F1: 0.6755

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: 4e-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
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.40.2
• —Pytorch 2.2.1+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1