metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: c4-binary-english-grammar-checker
results: []
c4-binary-english-grammar-checker
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7704
- Accuracy: 0.8103
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
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4222 | 1.0 | 12500 | 0.4028 | 0.8196 |
| 0.3544 | 2.0 | 25000 | 0.4459 | 0.8211 |
| 0.2939 | 3.0 | 37500 | 0.5059 | 0.8174 |
| 0.2327 | 4.0 | 50000 | 0.6280 | 0.8081 |
| 0.1822 | 5.0 | 62500 | 0.7704 | 0.8103 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3