End of training
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README.md
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---
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language:
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- en
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license: apache-2.0
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base_model: openai/whisper-base.en
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tags:
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- whisper-event
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- generated_from_trainer
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datasets:
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- tericlabs
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metrics:
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- wer
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model-index:
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- name: Whisper base english
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Sunbird
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type: tericlabs
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metrics:
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- name: Wer
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type: wer
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value: 7.709497206703911
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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 base english
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This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the Sunbird dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2710
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- Wer: 7.7095
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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: 1e-05
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- train_batch_size: 16
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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: 1000
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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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| 0.395 | 3.33 | 1000 | 0.1988 | 7.4860 |
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| 0.0295 | 6.67 | 2000 | 0.2389 | 7.3743 |
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| 0.0026 | 10.0 | 3000 | 0.2645 | 7.5978 |
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| 0.0011 | 13.33 | 4000 | 0.2710 | 7.7095 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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runs/Feb29_11-38-16_7f1d0f1be14f/events.out.tfevents.1709206754.7f1d0f1be14f.485.0
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd744fa661fd000b9fa78e08ffd26f2bd3b3cfa092b6f6bf23fac86c6d4fdfce
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size 7872
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