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--- |
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language: |
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- ml |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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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 Malayalam - tiny |
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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 ml |
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type: mozilla-foundation/common_voice_16_0 |
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config: ml |
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split: test |
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args: ml |
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metrics: |
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- name: Wer |
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type: wer |
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value: 54.37442075996293 |
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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 Malayalam - tiny |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_16_0 ml dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5503 |
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- Wer: 54.3744 |
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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: 2000 |
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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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| 1.1736 | 2.02 | 100 | 1.1670 | 99.7776 | |
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| 0.9647 | 4.04 | 200 | 1.0049 | 95.4866 | |
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| 0.5311 | 7.02 | 300 | 0.6807 | 74.5598 | |
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| 0.3036 | 9.04 | 400 | 0.5410 | 61.5755 | |
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| 0.1672 | 12.02 | 500 | 0.5146 | 56.5709 | |
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| 0.1006 | 14.04 | 600 | 0.5503 | 54.3744 | |
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| 0.0484 | 17.02 | 700 | 0.5859 | 54.5042 | |
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| 0.0305 | 19.04 | 800 | 0.6562 | 55.4124 | |
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| 0.0147 | 22.02 | 900 | 0.7095 | 54.8749 | |
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| 0.0116 | 24.04 | 1000 | 0.7383 | 55.0973 | |
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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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