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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- model_eng |
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metrics: |
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- wer |
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model-index: |
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- name: VoiceMath-Tiny |
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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: model_eng |
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type: model_eng |
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config: default |
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split: None |
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args: default |
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metrics: |
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- name: Wer |
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type: wer |
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value: 9.442870632672333 |
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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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# VoiceMath-Tiny |
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the model_eng dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0162 |
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- Wer: 9.4429 |
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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: 8 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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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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| No log | 1.0 | 15 | 0.2506 | 15.9585 | |
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| No log | 2.0 | 30 | 0.1447 | 13.9754 | |
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| No log | 3.0 | 45 | 0.0945 | 11.4259 | |
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| No log | 4.0 | 60 | 0.0657 | 11.7092 | |
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| No log | 5.0 | 75 | 0.0480 | 11.4259 | |
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| No log | 6.0 | 90 | 0.0322 | 9.9150 | |
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| No log | 7.0 | 105 | 0.0243 | 10.1983 | |
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| No log | 8.0 | 120 | 0.0196 | 9.2540 | |
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| No log | 9.0 | 135 | 0.0171 | 9.4429 | |
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| No log | 10.0 | 150 | 0.0162 | 9.4429 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.13.3 |
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