metadata
base_model: vinai/PhoWhisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small2-vi
results: []
whisper-small2-vi
This model is a fine-tuned version of vinai/PhoWhisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2336
- Wer: 7.8066
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3058 | 1.6 | 1000 | 0.3433 | 28.2955 |
| 0.1055 | 3.2 | 2000 | 0.3438 | 10.0351 |
| 0.0521 | 4.8 | 3000 | 0.2550 | 7.4959 |
| 0.0073 | 6.4 | 4000 | 0.2338 | 7.8336 |
| 0.0032 | 8.0 | 5000 | 0.2336 | 7.8066 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1