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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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- samromur_children |
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metrics: |
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- wer |
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model-index: |
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- name: whisper_samromur_children |
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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: samromur_children |
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type: samromur_children |
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config: samromur_children |
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split: validation |
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args: samromur_children |
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metrics: |
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- name: Wer |
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type: wer |
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value: 45.68657478305258 |
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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_samromur_children |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the samromur_children dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6322 |
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- Wer: 45.6866 |
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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: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 500 |
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- training_steps: 1000 |
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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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| 1.4343 | 0.25 | 250 | 1.5134 | 79.0199 | |
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| 0.7719 | 0.5 | 500 | 0.8724 | 61.2047 | |
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| 0.7181 | 0.75 | 750 | 0.6547 | 47.3201 | |
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| 0.5734 | 1.0 | 1000 | 0.6322 | 45.6866 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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