metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: turkic-cyrillic-classifier
results: []
turkic-cyrillic-classifier
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0078
- Accuracy: 0.9981
- F1: 0.9981
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.0503 | 1.0 | 2229 | 0.0087 | 0.9975 | 0.9975 |
| 0.0055 | 2.0 | 4458 | 0.0078 | 0.9981 | 0.9981 |
Framework versions
- Transformers 4.24.0.dev0
- Pytorch 1.12.1
- Datasets 2.10.1
- Tokenizers 0.13.1