wav2vec2-base-Malawi-small
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8095
- Wer: 0.4636
- Cer: 0.1534
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: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 900
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 7.3684 | 14.6341 | 300 | 3.2704 | 1.0 | 1.0 |
| 1.9223 | 29.2683 | 600 | 0.8459 | 0.5406 | 0.1849 |
| 0.2949 | 43.9024 | 900 | 0.8095 | 0.4636 | 0.1534 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 1.18.3
- Tokenizers 0.19.1
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Model tree for Anujgr8/wav2vec2-base-Malawi-small
Base model
facebook/wav2vec2-base-960h