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wav2vec2-large-xlsr-53-AsanteTwi-06
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6122
- Wer: 0.5
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 300
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 9.3303 | 16.67 | 100 | 5.2842 | 1.0 |
| 2.961 | 33.33 | 200 | 3.1857 | 1.0 |
| 2.8758 | 50.0 | 300 | 2.9988 | 1.0 |
| 2.8331 | 66.67 | 400 | 2.8830 | 1.0 |
| 2.4893 | 83.33 | 500 | 2.1638 | 1.0 |
| 1.1901 | 100.0 | 600 | 0.7611 | 0.5625 |
| 0.5563 | 116.67 | 700 | 0.7503 | 0.5 |
| 0.3916 | 133.33 | 800 | 0.6324 | 0.5 |
| 0.288 | 150.0 | 900 | 0.8291 | 0.5 |
| 0.2176 | 166.67 | 1000 | 0.7383 | 0.5625 |
| 0.1814 | 183.33 | 1100 | 0.6408 | 0.5 |
| 0.1749 | 200.0 | 1200 | 0.5769 | 0.5625 |
| 0.1653 | 216.67 | 1300 | 0.6512 | 0.5 |
| 0.1301 | 233.33 | 1400 | 0.6414 | 0.4375 |
| 0.1375 | 250.0 | 1500 | 0.5970 | 0.5 |
| 0.1173 | 266.67 | 1600 | 0.6119 | 0.5 |
| 0.108 | 283.33 | 1700 | 0.6325 | 0.5 |
| 0.1183 | 300.0 | 1800 | 0.6122 | 0.5 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
