wav2vec2-base-igbo
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9388
- Wer Ortho: 145.8015
- Wer: 145.4198
- Accuracy: 0.0
- F1: 0.0
- Recall: 0.0
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | Accuracy | F1 | Recall |
|---|---|---|---|---|---|---|---|---|
| 0.0004 | 50.0 | 500 | 2.9388 | 145.8015 | 145.4198 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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Model tree for Msughterx/wav2vec2-base-igbo
Base model
openai/whisper-small