asparius/convbert-combined-large

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convbert-combined-large

This model is a fine-tuned version of dbmdz/convbert-base-turkish-mc4-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2848
• —Accuracy: 0.8952
• —F1: 0.8955

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
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.21.2
• —Pytorch 1.12.1+cu102
• —Datasets 2.4.0
• —Tokenizers 0.12.1