metadata
license: apache-2.0
base_model: google/byt5-small
tags:
- generated_from_trainer
metrics:
- bleu
- cer
model-index:
- name: arabic_auto_correction_byt5
results:
- task:
type: text-generation
metrics:
- name: BLEU
type: BLEU
value: 93.8
library_name: transformers
pipeline_tag: text2text-generation
arabic_auto_correction_byt5
This model is a fine-tuned version of google/byt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0016
- Cer: 0.01
- Bleu: 0.9381
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: 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: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Bleu |
|---|---|---|---|---|---|
| No log | 1.0 | 1000 | 0.0049 | 0.03 | 0.7215 |
| 1.1488 | 2.0 | 2000 | 0.0034 | 0.02 | 0.8014 |
| 1.1488 | 3.0 | 3000 | 0.0026 | 0.01 | 0.8477 |
| 0.0041 | 4.0 | 4000 | 0.0022 | 0.01 | 0.8757 |
| 0.0041 | 5.0 | 5000 | 0.0019 | 0.01 | 0.8919 |
| 0.0026 | 6.0 | 6000 | 0.0018 | 0.01 | 0.8988 |
| 0.0026 | 7.0 | 7000 | 0.0017 | 0.01 | 0.9118 |
| 0.0018 | 8.0 | 8000 | 0.0016 | 0.01 | 0.9173 |
| 0.0018 | 9.0 | 9000 | 0.0016 | 0.01 | 0.9219 |
| 0.0013 | 10.0 | 10000 | 0.0016 | 0.01 | 0.9249 |
| 0.0013 | 11.0 | 11000 | 0.0016 | 0.01 | 0.9284 |
| 0.001 | 12.0 | 12000 | 0.0017 | 0.01 | 0.9318 |
| 0.001 | 13.0 | 13000 | 0.0016 | 0.01 | 0.9354 |
| 0.0008 | 14.0 | 14000 | 0.0016 | 0.01 | 0.9344 |
| 0.0008 | 15.0 | 15000 | 0.0016 | 0.01 | 0.9386 |
| 0.0006 | 16.0 | 16000 | 0.0016 | 0.01 | 0.9381 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1