metadata
license: apache-2.0
base_model: oyounis/BERT-Autocorrector
tags:
- generated_from_trainer
model-index:
- name: model
results: []
model
This model is a fine-tuned version of oyounis/BERT-Autocorrector on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9846
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| No log | 1.0 | 300 | 2.1807 |
| 2.4036 | 2.0 | 600 | 2.0895 |
| 2.4036 | 3.0 | 900 | 2.0379 |
| 2.1945 | 4.0 | 1200 | 1.9572 |
| 2.1093 | 5.0 | 1500 | 1.9846 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2