language: | |
- en | |
license: apache-2.0 | |
tags: | |
- hf-asr-leaderboard | |
- generated_from_trainer | |
datasets: | |
- tobiolatunji/afrispeech-200 | |
model-index: | |
- name: Whisper Small En - Owos | |
results: [] | |
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# Whisper Small En - Owos | |
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the AfriSpeech_j dataset. | |
It achieves the following results on the evaluation set: | |
- eval_loss: 0.6865 | |
- eval_wer: 29.3845 | |
- eval_runtime: 1774.5798 | |
- eval_samples_per_second: 1.691 | |
- eval_steps_per_second: 0.211 | |
- epoch: 0.06 | |
- step: 250 | |
## 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: 8 | |
- 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: 500 | |
- training_steps: 4000 | |
- mixed_precision_training: Native AMP | |
### Framework versions | |
- Transformers 4.27.0 | |
- Pytorch 2.0.0+cu118 | |
- Datasets 2.12.0 | |
- Tokenizers 0.13.3 | |