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
- eval_samples_per_second: 981.865
- eval_steps_per_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
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for pavlichenko/roberta-base-comma-correction-classifier
Base model
FacebookAI/roberta-base