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README.md
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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-Tres
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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: 10.023201856148493
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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-Tres
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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: 0.6083
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- Wer: 10.0232
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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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### 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 | 100 | 0.4361 | 10.6729 |
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| No log | 2.0 | 200 | 0.4749 | 10.1160 |
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| No log | 3.0 | 300 | 0.4844 | 14.8956 |
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| No log | 4.0 | 400 | 0.5087 | 10.3944 |
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| 0.1884 | 5.0 | 500 | 0.5732 | 9.7912 |
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| 0.1884 | 6.0 | 600 | 0.5863 | 9.9768 |
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| 0.1884 | 7.0 | 700 | 0.5934 | 9.9768 |
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| 0.1884 | 8.0 | 800 | 0.6067 | 10.0232 |
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| 0.1884 | 9.0 | 900 | 0.6051 | 10.1160 |
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| 0.001 | 10.0 | 1000 | 0.6083 | 10.0232 |
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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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