metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-asr-th
results: []
wav2vec2-large-asr-th
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4214
- Wer: 0.3708
- Cer: 0.1236
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: 0.0002
- train_batch_size: 24
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.6395 | 0.86 | 500 | 0.5238 | 0.4279 | 0.1463 |
| 0.4942 | 1.71 | 1000 | 0.5227 | 0.4188 | 0.1404 |
| 0.4195 | 2.57 | 1500 | 0.4984 | 0.4019 | 0.1344 |
| 0.514 | 3.42 | 2000 | 0.4713 | 0.3828 | 0.1305 |
| 0.4964 | 4.28 | 2500 | 0.4490 | 0.3780 | 0.1261 |
| 0.5175 | 5.14 | 3000 | 0.4214 | 0.3708 | 0.1236 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2