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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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metrics:
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- wer
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model-index:
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- name: subhadeep_whisper_small_finetune_teacher_no_noise_libri_360_hours_100_epochs_batch_8
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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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# subhadeep_whisper_small_finetune_teacher_no_noise_libri_360_hours_100_epochs_batch_8
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This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1135
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- Wer: 9.0383
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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: 0.0005
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- train_batch_size: 4
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 256
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- total_train_batch_size: 1024
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine_with_restarts
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- lr_scheduler_warmup_ratio: 0.2
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- num_epochs: 100
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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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| 0.5483 | 0.98 | 100 | 0.1273 | 9.9482 |
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| 0.0795 | 1.97 | 200 | 0.0815 | 8.6467 |
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| 0.0415 | 2.96 | 300 | 0.0788 | 8.3986 |
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| 0.0257 | 3.95 | 400 | 0.0849 | 8.3857 |
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| 0.0325 | 4.95 | 500 | 0.0993 | 8.8471 |
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| 0.0219 | 5.94 | 600 | 0.0951 | 8.7350 |
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| 0.018 | 6.93 | 700 | 0.0952 | 8.7000 |
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| 0.0159 | 7.92 | 800 | 0.1098 | 8.7901 |
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| 0.017 | 8.91 | 900 | 0.1135 | 9.0383 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.12.1
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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