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--- |
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library_name: transformers |
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language: |
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- ac |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- tericlabs |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper base acholi |
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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: Sunbird_salt |
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type: tericlabs |
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metrics: |
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- name: Wer |
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type: wer |
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value: 125.91206735266604 |
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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 acholi |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Sunbird_salt dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.3204 |
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- Wer: 125.9121 |
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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: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use 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: 1000 |
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- training_steps: 20000 |
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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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| 3.9219 | 6.6225 | 1000 | 2.8840 | 196.1646 | |
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| 2.2828 | 13.2450 | 2000 | 2.8298 | 129.9345 | |
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| 1.399 | 19.8675 | 3000 | 3.3370 | 135.6408 | |
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| 0.5689 | 26.4901 | 4000 | 3.9490 | 141.4406 | |
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| 0.1519 | 33.1126 | 5000 | 4.4924 | 117.0253 | |
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| 0.0408 | 39.7351 | 6000 | 4.8503 | 130.4958 | |
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| 0.0176 | 46.3576 | 7000 | 5.1254 | 123.5734 | |
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| 0.0101 | 52.9801 | 8000 | 5.2911 | 128.7184 | |
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| 0.0049 | 59.6026 | 9000 | 5.5606 | 145.7437 | |
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| 0.004 | 66.2252 | 10000 | 5.6918 | 131.7119 | |
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| 0.003 | 72.8477 | 11000 | 5.8036 | 130.5893 | |
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| 0.0021 | 79.4702 | 12000 | 5.9199 | 127.5023 | |
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| 0.0008 | 86.0927 | 13000 | 6.0288 | 134.5182 | |
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| 0.0021 | 92.7152 | 14000 | 6.0003 | 133.4892 | |
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| 0.0006 | 99.3377 | 15000 | 6.1112 | 123.0122 | |
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| 0.0003 | 105.9603 | 16000 | 6.1775 | 122.1703 | |
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| 0.0002 | 112.5828 | 17000 | 6.2225 | 125.6314 | |
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| 0.0002 | 119.2053 | 18000 | 6.2691 | 126.3798 | |
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| 0.0002 | 125.8278 | 19000 | 6.3077 | 125.7250 | |
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| 0.0002 | 132.4503 | 20000 | 6.3204 | 125.9121 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
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