metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Model_G_S_Berita_Wav2Vec2
results: []
Model_G_S_Berita_Wav2Vec2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0232
- Wer: 0.0308
- Cer: 0.0050
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.3802 | 12.5 | 400 | 0.0473 | 0.0692 | 0.0105 |
| 0.0245 | 25.0 | 800 | 0.0232 | 0.0308 | 0.0050 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3