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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- afrispeech-200 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-hi-2400_500_100 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: afrispeech-200 |
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type: afrispeech-200 |
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config: all |
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split: train |
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args: all |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.6376484560570072 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whisper-small-hi-2400_500_100 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the afrispeech-200 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1136 |
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- Wer: 0.6376 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 200 |
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- training_steps: 900 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 2.0658 | 0.17 | 150 | 2.3108 | 1.0536 | |
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| 1.4738 | 0.33 | 300 | 1.3138 | 1.0395 | |
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| 0.8823 | 1.17 | 450 | 1.2148 | 0.7992 | |
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| 1.1971 | 1.33 | 600 | 1.1466 | 0.7340 | |
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| 0.7529 | 2.17 | 750 | 1.1256 | 0.6723 | |
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| 1.1194 | 2.33 | 900 | 1.1136 | 0.6376 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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