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README.md
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license:
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---
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---
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license: apache-2.0
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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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- 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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---
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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 v6.0
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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
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