End of training
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README.md
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---
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library_name: transformers
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language:
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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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-
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metrics:
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- wer
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model-index:
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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: dv
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split: test
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args: dv
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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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# Whisper Small Dv - khaled lakhdher
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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 Ortho:
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- Wer:
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## Model description
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### Training results
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| Training Loss | Epoch
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| 0.
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### Framework versions
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---
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library_name: transformers
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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-small
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tags:
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- generated_from_trainer
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datasets:
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- ylacombe/english_dialects
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metrics:
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- wer
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model-index:
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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: ylacombe/english_dialects
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type: ylacombe/english_dialects
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metrics:
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- name: Wer
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type: wer
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value: 6.0064935064935066
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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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# Whisper Small Dv - khaled lakhdher
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ylacombe/english_dialects dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2430
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- Wer Ortho: 6.5898
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- Wer: 6.0065
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
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| 0.0002 | 19.2308 | 500 | 0.2430 | 6.5898 | 6.0065 |
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### Framework versions
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model.safetensors
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