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--- |
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library_name: transformers |
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language: |
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- ht |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- generated_from_trainer |
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datasets: |
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- haitian-creole-asr |
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metrics: |
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- wer |
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model-index: |
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- name: Ayira Medium |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: Haitian Creole ASR Dataset |
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type: haitian-creole-asr |
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args: 'language: ht, split: train' |
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metrics: |
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- type: wer |
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value: 0.1610558530986993 |
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name: Wer |
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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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# Ayira Medium |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Haitian Creole ASR Dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2185 |
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- Wer: 0.1611 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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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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| 0.1675 | 1.0 | 339 | 0.2434 | 0.2363 | |
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| 0.1356 | 2.0 | 678 | 0.2046 | 0.3384 | |
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| 0.0581 | 3.0 | 1017 | 0.1919 | 0.2433 | |
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| 0.0289 | 4.0 | 1356 | 0.1972 | 0.1909 | |
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| 0.0192 | 5.0 | 1695 | 0.2027 | 0.1787 | |
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| 0.005 | 6.0 | 2034 | 0.2043 | 0.1019 | |
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| 0.0036 | 7.0 | 2373 | 0.2093 | 0.1450 | |
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| 0.0006 | 8.0 | 2712 | 0.2147 | 0.1264 | |
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| 0.0004 | 9.0 | 3051 | 0.2162 | 0.1624 | |
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| 0.0003 | 10.0 | 3390 | 0.2185 | 0.1611 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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