wav2vec2-large-960h-lv60-self-4-gram_fine-tune_real_29_Jun
This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60-self on the uob_singlish dataset. It achieves the following results on the evaluation set:
- Loss: 1.2895
- Wer: 0.4583
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.1283 | 1.82 | 20 | 1.5236 | 0.5764 |
| 1.3015 | 3.64 | 40 | 1.2956 | 0.4931 |
| 0.9918 | 5.45 | 60 | 1.3087 | 0.5347 |
| 0.849 | 7.27 | 80 | 1.2914 | 0.5139 |
| 0.6191 | 9.09 | 100 | 1.2895 | 0.4583 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3