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asr-alffamharic-phoneme-based
This model is a fine-tuned version of Samuael/asr-alffamharic-phoneme-based on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3420
- Wer: 0.4614
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: 0.05
- train_batch_size: 64
- 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: 1
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.2647 | 0.26 | 40 | 0.3420 | 0.4607 |
0.2841 | 0.52 | 80 | 0.3420 | 0.4603 |
0.2698 | 0.78 | 120 | 0.3420 | 0.4614 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1