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README.md
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---
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language:
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- id
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license: apache-2.0
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base_model: openai/whisper-small
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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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metrics:
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- wer
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model-index:
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- name:
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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:
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type:
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config: id
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split:
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args: id
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metrics:
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- name: Wer
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type: wer
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value:
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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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#
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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### Framework versions
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---
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_9_0
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metrics:
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- wer
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model-index:
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- name: cv9-special-batch4-lr4-small
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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: common_voice_9_0
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type: common_voice_9_0
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config: id
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split: test
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args: id
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metrics:
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- name: Wer
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type: wer
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value: 19.102829537612145
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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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# cv9-special-batch4-lr4-small
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_9_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4077
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- Wer: 19.1028
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.9789 | 0.48 | 1000 | 0.8522 | 41.7483 |
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| 0.7245 | 0.97 | 2000 | 0.7121 | 36.8162 |
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| 0.3335 | 1.45 | 3000 | 0.5499 | 28.7141 |
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| 0.2575 | 1.94 | 4000 | 0.4435 | 22.0934 |
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| 0.0593 | 2.42 | 5000 | 0.4077 | 19.1028 |
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### Framework versions
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