goldenk/distilbert-base-uncased-finetuned-switchboard-2

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distilbert-base-uncased-finetuned-switchboard-2

This model is a fine-tuned version of distilbert-base-uncased on Switchboard dataset. It achieves the following results on the validation set:

• —Loss: 0.7090
• —Accuracy: 0.7215
• —Precision: 0.7176
• —Recall: 0.7215
• —F1: 0.7188

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: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.13.0
• —Pytorch 1.13.0+cu116
• —Datasets 1.16.1
• —Tokenizers 0.10.3