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---
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license: apache-2.0
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base_model: openai/whisper-tiny.en
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-tiny.en-finetuned
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results: []
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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-tiny.en-finetuned
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4890
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- Wer: 0.8750
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- Cer: 0.4454
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- Ser: 0.055
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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-06
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- train_batch_size: 32
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- eval_batch_size: 64
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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: 20
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- training_steps: 220
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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 | Cer | Ser |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-----:|
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| 6.4419 | 0.4 | 10 | 6.4480 | 45.25 | 16.3573 | 1.0 |
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| 6.2706 | 0.8 | 20 | 5.9268 | 39.375 | 14.1797 | 1.0 |
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| 5.3444 | 1.2 | 30 | 4.8418 | 19.875 | 7.3002 | 1.0 |
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| 4.3269 | 1.6 | 40 | 3.9103 | 9.375 | 3.8357 | 1.0 |
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| 3.6103 | 2.0 | 50 | 3.3228 | 7.0000 | 3.2170 | 1.0 |
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| 3.0331 | 2.4 | 60 | 2.7725 | 5.375 | 2.3509 | 1.0 |
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| 2.5529 | 2.8 | 70 | 2.3913 | 4.75 | 1.8312 | 1.0 |
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| 2.2359 | 3.2 | 80 | 2.1217 | 3.375 | 1.4353 | 1.0 |
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| 1.9777 | 3.6 | 90 | 1.8790 | 3.0 | 1.3116 | 1.0 |
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| 1.7863 | 4.0 | 100 | 1.7402 | 2.875 | 1.0393 | 0.98 |
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| 1.6854 | 4.4 | 110 | 1.6736 | 2.625 | 0.9651 | 0.925 |
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| 1.6297 | 4.8 | 120 | 1.6290 | 2.625 | 0.9404 | 0.765 |
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| 1.5974 | 5.2 | 130 | 1.5959 | 2.5 | 0.9651 | 0.57 |
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| 1.5673 | 5.6 | 140 | 1.5702 | 1.5 | 0.6434 | 0.385 |
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| 1.5397 | 6.0 | 150 | 1.5497 | 1.25 | 0.5692 | 0.27 |
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| 1.524 | 6.4 | 160 | 1.5333 | 1.125 | 0.5444 | 0.22 |
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| 1.509 | 6.8 | 170 | 1.5199 | 0.8750 | 0.4454 | 0.155 |
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| 1.4986 | 7.2 | 180 | 1.5091 | 0.8750 | 0.4454 | 0.095 |
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| 1.4872 | 7.6 | 190 | 1.5011 | 0.8750 | 0.4454 | 0.075 |
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| 1.4844 | 8.0 | 200 | 1.4950 | 0.8750 | 0.4454 | 0.075 |
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| 1.4743 | 8.4 | 210 | 1.4910 | 0.8750 | 0.4454 | 0.065 |
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| 1.4746 | 8.8 | 220 | 1.4890 | 0.8750 | 0.4454 | 0.055 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.2+cu121
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- Datasets 2.14.5
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- Tokenizers 0.15.2
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