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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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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_100_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_100_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: 0.3422
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- Wer: 15.6961
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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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| 0.3854 | 3.68 | 100 | 0.1916 | 12.3782 |
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| 0.0214 | 7.39 | 200 | 0.2210 | 12.6356 |
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| 0.0209 | 11.11 | 300 | 0.2540 | 13.5455 |
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| 0.0698 | 14.79 | 400 | 0.2788 | 13.9829 |
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| 0.0206 | 18.5 | 500 | 0.3106 | 14.8156 |
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| 0.0236 | 22.22 | 600 | 0.3422 | 15.6961 |
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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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