|
--- |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
- cer |
|
model-index: |
|
- name: wav2vec2-large-asr-th-2 |
|
results: [] |
|
datasets: |
|
- common_voice |
|
- mozilla-foundation/common_voice_10_0 |
|
language: |
|
- th |
|
pipeline_tag: automatic-speech-recognition |
|
library_name: transformers |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# wav2vec2-large-asr-th-2 |
|
|
|
This model was find-tune from on the CommonVoice dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2310 |
|
- Wer: 0.3196 |
|
- Cer: 0.0878 |
|
|
|
## 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: 12 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 3 |
|
- total_train_batch_size: 36 |
|
- 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 | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
|
| 0.065 | 0.18 | 1000 | 0.5433 | 0.3259 | 0.0891 | |
|
| 0.0792 | 0.36 | 2000 | 0.5453 | 0.3269 | 0.0901 | |
|
| 0.1663 | 0.53 | 3000 | 0.4702 | 0.3299 | 0.0908 | |
|
| 0.7971 | 0.71 | 4000 | 0.2513 | 0.3244 | 0.0889 | |
|
| 0.7588 | 0.89 | 5000 | 0.2310 | 0.3196 | 0.0878 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.1 |
|
- Pytorch 2.0.0+cu118 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
