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---
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language:
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- en
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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- Shiry/ATC_combined
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metrics:
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- wer
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model-index:
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- name: Whisper Small ATC - ATCText
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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: ATC
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type: Shiry/ATC_combined
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args: 'split: test'
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metrics:
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- name: Wer
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type: wer
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value: 9.924699404882393
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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 ATC - ATCText
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ATC dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2696
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- Wer: 9.9247
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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: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.2728 | 0.84 | 1000 | 0.3054 | 13.2221 |
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| 0.1259 | 1.69 | 2000 | 0.2615 | 10.4611 |
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| 0.0558 | 2.53 | 3000 | 0.2588 | 9.9267 |
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| 0.0316 | 3.38 | 4000 | 0.2690 | 9.8680 |
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| 0.0136 | 4.22 | 5000 | 0.2696 | 9.9247 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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