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--- |
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language: |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-base.en |
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tags: |
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- nyansapo_ai-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- NyansapoAI/azure-dataset |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-base-bungoma.en |
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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: Azure-dataset |
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type: NyansapoAI/azure-dataset |
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args: 'split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 25.28041415012942 |
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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-base-bungoma.en |
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This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the Azure-dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0636 |
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- Wer: 25.2804 |
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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-05 |
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- train_batch_size: 16 |
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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: 250 |
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- training_steps: 1000 |
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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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| 0.7399 | 1.38 | 250 | 0.2390 | 29.3356 | |
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| 0.2829 | 2.76 | 500 | 0.0774 | 21.8292 | |
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| 0.1573 | 4.14 | 750 | 0.0921 | 22.8645 | |
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| 0.1373 | 5.52 | 1000 | 0.0636 | 25.2804 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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