metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-asr-th-2
results: []
wav2vec2-large-asr-th-2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1961
- Wer: 0.3488
- Cer: 0.0967
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: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 72
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 600
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.5833 | 0.36 | 1000 | 0.2734 | 0.4104 | 0.1166 |
| 0.5996 | 0.71 | 2000 | 0.2426 | 0.3957 | 0.1114 |
| 0.4372 | 1.07 | 3000 | 0.2234 | 0.3716 | 0.1029 |
| 0.4109 | 1.42 | 4000 | 0.2070 | 0.3570 | 0.0976 |
| 0.3881 | 1.78 | 5000 | 0.1961 | 0.3488 | 0.0967 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2