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--- |
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language: |
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- ta |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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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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- mozilla-foundation/common_voice_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Breeze DSW Tamil - base |
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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: mozilla-foundation/common_voice_16_0 ta |
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type: mozilla-foundation/common_voice_16_0 |
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config: ta |
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split: test |
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args: ta |
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metrics: |
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- name: Wer |
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type: wer |
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value: 21.407068619939793 |
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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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# Breeze DSW Tamil - base |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_16_0 ta dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.375 |
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- Wer: 21.4071 |
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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: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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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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| 0.1698 | 0.1 | 100 | 0.5723 | 30.4406 | |
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| 0.3578 | 0.2 | 200 | 0.4302 | 25.6862 | |
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| 0.2832 | 0.3 | 300 | 0.3967 | 23.2048 | |
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| 0.2663 | 0.4 | 400 | 0.4038 | 23.8525 | |
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| 0.5175 | 0.5 | 500 | 0.3962 | 24.1466 | |
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| 0.2365 | 0.6 | 600 | 0.3850 | 22.2595 | |
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| 0.1692 | 0.7 | 700 | 0.3960 | 21.8687 | |
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| 0.1815 | 0.8 | 800 | 0.3823 | 22.0772 | |
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| 0.1612 | 0.9 | 900 | 0.3701 | 21.8056 | |
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| 0.1393 | 1.0 | 1000 | 0.375 | 21.4071 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.0 |
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