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--- |
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language: |
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- te |
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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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- Chai_Bisket_Stories_16-08-2021_14-17 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Telugu - Naga Budigam |
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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: Chai_Bisket_Stories_16-08-2021_14-17 |
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type: Chai_Bisket_Stories_16-08-2021_14-17 |
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config: None |
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split: None |
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args: 'config: te, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 77.48711850971065 |
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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 Telugu - Naga Budigam |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Chai_Bisket_Stories_16-08-2021_14-17 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7063 |
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- Wer: 77.4871 |
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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: 16 |
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- eval_batch_size: 8 |
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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: 5000 |
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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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| 0.2933 | 2.62 | 500 | 0.3849 | 86.6429 | |
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| 0.0692 | 5.24 | 1000 | 0.3943 | 82.7190 | |
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| 0.0251 | 7.85 | 1500 | 0.4720 | 82.4415 | |
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| 0.0098 | 10.47 | 2000 | 0.5359 | 81.6092 | |
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| 0.0061 | 13.09 | 2500 | 0.5868 | 75.9413 | |
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| 0.0025 | 15.71 | 3000 | 0.6235 | 76.6944 | |
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| 0.0009 | 18.32 | 3500 | 0.6634 | 78.3987 | |
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| 0.0005 | 20.94 | 4000 | 0.6776 | 77.1700 | |
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| 0.0002 | 23.56 | 4500 | 0.6995 | 78.2798 | |
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| 0.0001 | 26.18 | 5000 | 0.7063 | 77.4871 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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