pavlichenko/roberta-base-comma-correction-classifier

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roberta-base-comma-correction-classifier

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

• —eval_loss: 0.2252
• —eval_accuracy: 0.9001
• —eval_runtime: 1.7436
• —evalsamplesper_second: 981.865
• —evalstepsper_second: 15.485
• —epoch: 0.69
• —step: 1500

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: 5e-05
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 3

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.1.0+cu118
• —Datasets 2.14.6
• —Tokenizers 0.14.1