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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: whisper-medium-loz
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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-medium-loz
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0237
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- Wer: 38.4907
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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: 5e-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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- 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: 4000
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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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| 0.2252 | 3.11 | 500 | 1.6491 | 50.4707 |
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| 0.0815 | 6.21 | 1000 | 1.8170 | 48.7246 |
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| 0.0417 | 9.32 | 1500 | 1.8765 | 43.2129 |
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| 0.0218 | 12.42 | 2000 | 1.8995 | 40.6316 |
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| 0.0062 | 15.53 | 2500 | 1.9751 | 38.6578 |
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| 0.0024 | 18.63 | 3000 | 2.0062 | 38.5667 |
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| 0.0001 | 21.74 | 3500 | 2.0141 | 38.6274 |
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| 0.0001 | 24.84 | 4000 | 2.0237 | 38.4907 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu116
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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