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README.md
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---
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language:
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- toi
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license: apache-2.0
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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datasets:
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- zambezi_voice/tonga
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metrics:
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- wer
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model-index:
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- name: Whisper Medium - Claytone Aikasote
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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: tonga
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type: zambezi_voice/tonga
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config: null
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split: None
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args: 'config: toi, split: dev'
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metrics:
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- name: Wer
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type: wer
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value: 59.61628451099672
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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 Medium - Claytone Aikasote
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the tonga dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8215
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- Wer: 59.6163
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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: 4
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- eval_batch_size: 4
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- seed: 42
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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: 4000
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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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| 0.4727 | 1.47 | 500 | 2.0656 | 70.8002 |
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| 0.2033 | 2.95 | 1000 | 2.0971 | 67.6416 |
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| 0.0658 | 4.42 | 1500 | 2.3894 | 62.0262 |
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| 0.0281 | 5.9 | 2000 | 2.5443 | 62.2134 |
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| 0.0104 | 7.37 | 2500 | 2.6873 | 61.8390 |
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| 0.0046 | 8.85 | 3000 | 2.7252 | 60.6458 |
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| 0.0004 | 10.32 | 3500 | 2.7891 | 60.8563 |
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| 0.0003 | 11.8 | 4000 | 2.8215 | 59.6163 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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