Whisper medium
Browse files
README.md
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---
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language:
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- lt
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license: apache-2.0
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tags:
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- whisper-event
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- hf-asr-leaderboard
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: Whisper Medium Lithuanian
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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: mozilla-foundation/common_voice_11_0
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type: mozilla-foundation/common_voice_11_0
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args: 'config: lt, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 20.446244
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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 Lithuanian CV11
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the mozilla-foundation/common_voice_11_0 cs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.354951
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- Wer: 20.446244
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.0056 | 9.42 | 1000 | 0.3252 | 20.5534 |
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| 0.0023 | 18.8 | 2000 | 0.3549 | 20.4462 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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