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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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- common_language
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metrics:
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- accuracy
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model-index:
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- name: whisper-base-ft-common-language-id
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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-base-ft-common-language-id
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_language dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0725
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- Accuracy: 0.7525
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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: 32
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- eval_batch_size: 16
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- seed: 0
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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_ratio: 0.1
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- num_epochs: 10.0
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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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.5291 | 1.0 | 694 | 2.4787 | 0.4806 |
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| 1.5801 | 2.0 | 1388 | 1.6258 | 0.6260 |
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| 1.0144 | 3.0 | 2082 | 1.2886 | 0.6816 |
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| 0.7442 | 4.0 | 2776 | 1.0783 | 0.7237 |
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| 0.4802 | 5.0 | 3470 | 1.0582 | 0.7266 |
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| 0.3378 | 6.0 | 4164 | 1.0173 | 0.7417 |
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| 0.1941 | 7.0 | 4858 | 1.0054 | 0.7446 |
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| 0.1424 | 8.0 | 5552 | 1.0213 | 0.7508 |
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| 0.1242 | 9.0 | 6246 | 1.0567 | 0.7495 |
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| 0.1527 | 10.0 | 6940 | 1.0725 | 0.7525 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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