mr_sam_wav2vec2_nigerian_accent_v1
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3400
- Wer: 0.1900
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.456 | 6.67 | 500 | 2.9391 | 1.0 |
| 1.0329 | 13.33 | 1000 | 0.4350 | 0.3343 |
| 0.2048 | 20.0 | 1500 | 0.3604 | 0.2488 |
| 0.1054 | 26.67 | 2000 | 0.3545 | 0.2118 |
| 0.0698 | 33.33 | 2500 | 0.3480 | 0.2012 |
| 0.0529 | 40.0 | 3000 | 0.3400 | 0.1900 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
facebook/wav2vec2-base