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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-BTCv4
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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-BTCv4
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This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3668
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- Wer: 6.6468
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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: 4e-07
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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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- 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: 300
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- training_steps: 350
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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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| 0.8163 | 1.01 | 25 | 0.8356 | 10.0635 |
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| 0.7916 | 2.02 | 50 | 0.8102 | 9.7351 |
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| 0.7563 | 3.03 | 75 | 0.7621 | 9.5088 |
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| 0.7154 | 4.05 | 100 | 0.7107 | 9.2337 |
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| 0.6548 | 5.06 | 125 | 0.6589 | 9.3801 |
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| 0.6017 | 7.01 | 150 | 0.6062 | 9.0074 |
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| 0.5333 | 8.02 | 175 | 0.5347 | 8.6214 |
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| 0.4493 | 9.03 | 200 | 0.4738 | 8.2842 |
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| 0.4016 | 10.04 | 225 | 0.4333 | 7.1172 |
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| 0.3738 | 11.05 | 250 | 0.4057 | 6.7001 |
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| 0.3544 | 13.01 | 275 | 0.3882 | 6.6247 |
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| 0.3294 | 14.02 | 300 | 0.3764 | 6.6957 |
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| 0.313 | 15.03 | 325 | 0.3692 | 6.6602 |
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| 0.3023 | 16.04 | 350 | 0.3668 | 6.6468 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1+cu117
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- Datasets 2.9.1.dev0
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- Tokenizers 0.13.2
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