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wav2vec2-phenome-based-alffaamharic
This model is a fine-tuned version of Samuael/wav2vec2-phenome-based-alffaamharic on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4573
- eval_wer: 0.3543
- eval_runtime: 22.2304
- eval_samples_per_second: 16.149
- eval_steps_per_second: 2.024
- epoch: 11.7
- step: 2200
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: 3e-05
- 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: 30
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1