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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: openai/whisper-medium
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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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# openai/whisper-medium
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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: 0.3569
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- Wer: 18.8556
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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: 3e-06
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- train_batch_size: 32
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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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: 10000
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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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| 0.0621 | 1.05 | 1000 | 0.2690 | 20.5099 |
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| 0.0174 | 2.1 | 2000 | 0.2705 | 19.2292 |
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| 0.006 | 3.15 | 3000 | 0.2954 | 18.9890 |
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| 0.0028 | 4.2 | 4000 | 0.3093 | 18.8023 |
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| 0.0016 | 5.25 | 5000 | 0.3240 | 18.9653 |
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| 0.0018 | 6.3 | 6000 | 0.3313 | 18.6451 |
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| 0.0014 | 7.35 | 7000 | 0.3330 | 18.9446 |
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| 0.0016 | 8.39 | 8000 | 0.3428 | 18.6422 |
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| 0.0015 | 9.44 | 9000 | 0.3508 | 18.9564 |
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| 0.001 | 10.49 | 10000 | 0.3569 | 18.8556 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 2.0.0.dev20221216+cu116
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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