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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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