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--- |
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license: afl-3.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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- oriya |
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datasets: |
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- Ranjit/or_in_dataset |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Odia 10k steps |
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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: Ranjit/or_in_dataset |
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type: Ranjit/or_in_dataset |
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split: test |
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metrics: |
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- name: Wer |
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type: wer |
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value: 19.772043934466467 |
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language: |
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- or |
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pipeline_tag: automatic-speech-recognition |
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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 Small Odia 10k steps |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [Ranjit/or_in_dataset](https://huggingface.co/datasets/Ranjit/or_in_dataset) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2806 |
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- Wer: 19.7720 |
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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: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 200 |
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- training_steps: 10000 |
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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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| 0.0384 | 0.49 | 1000 | 0.1349 | 40.3740 | |
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| 0.0175 | 0.98 | 2000 | 0.1601 | 22.6468 | |
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| 0.0091 | 1.46 | 3000 | 0.1817 | 23.1515 | |
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| 0.0082 | 1.95 | 4000 | 0.2125 | 23.9139 | |
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| 0.0048 | 2.44 | 5000 | 0.2110 | 20.2522 | |
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| 0.0037 | 2.93 | 6000 | 0.2270 | 21.4855 | |
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| 0.0017 | 3.42 | 7000 | 0.2534 | 20.2399 | |
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| 0.0018 | 3.9 | 8000 | 0.2706 | 20.7277 | |
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| 0.0005 | 4.39 | 9000 | 0.2806 | 19.7720 | |
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| 0.0006 | 4.88 | 10000 | 0.2929 | 20.9747 | |
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<!-- ### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 --> |
