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--- |
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language: |
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- sn |
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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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- generated_from_trainer |
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datasets: |
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- mother_tongue_complete_dataset |
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metrics: |
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- wer |
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model-index: |
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- name: mother_tongue_model_v3 |
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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: mother_tongue_dataset_complete |
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type: mother_tongue_complete_dataset |
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args: 'config: sn' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.0 |
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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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# mother_tongue_model_v3 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mother_tongue_dataset_complete dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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- Wer: 0.0 |
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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: 1 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 5000 |
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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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| 0.0018 | 16.3934 | 500 | 0.0009 | 0.0 | |
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| 0.0001 | 32.7869 | 1000 | 0.0001 | 0.0 | |
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| 0.0 | 49.1803 | 1500 | 0.0001 | 0.0 | |
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| 0.0 | 65.5738 | 2000 | 0.0000 | 0.0 | |
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| 0.0 | 81.9672 | 2500 | 0.0000 | 0.0 | |
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| 0.0 | 98.3607 | 3000 | 0.0000 | 0.0 | |
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| 0.0 | 114.7541 | 3500 | 0.0000 | 0.0 | |
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| 0.0 | 131.1475 | 4000 | 0.0000 | 0.0 | |
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| 0.0 | 147.5410 | 4500 | 0.0000 | 0.0 | |
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| 0.0 | 163.9344 | 5000 | 0.0000 | 0.0 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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