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wav2vec-malayalam-checkpoint
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6457
- Wer: 0.6608
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- num_epochs: 150
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.6371 | 10.0 | 100 | 3.5200 | 1.0 |
| 3.3014 | 20.0 | 200 | 3.2092 | 1.0 |
| 1.2997 | 30.0 | 300 | 0.7134 | 0.8847 |
| 0.5078 | 40.0 | 400 | 0.5805 | 0.7841 |
| 0.3795 | 50.0 | 500 | 0.5604 | 0.7289 |
| 0.2809 | 60.0 | 600 | 0.5962 | 0.7055 |
| 0.2381 | 70.0 | 700 | 0.6099 | 0.6938 |
| 0.2046 | 80.0 | 800 | 0.6237 | 0.6862 |
| 0.1826 | 90.0 | 900 | 0.6204 | 0.6755 |
| 0.1627 | 100.0 | 1000 | 0.6335 | 0.6751 |
| 0.1453 | 110.0 | 1100 | 0.6446 | 0.6739 |
| 0.1359 | 120.0 | 1200 | 0.6277 | 0.6648 |
| 0.1274 | 130.0 | 1300 | 0.6356 | 0.6573 |
| 0.1189 | 140.0 | 1400 | 0.6417 | 0.6601 |
| 0.1146 | 150.0 | 1500 | 0.6457 | 0.6608 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3
