KhaledLakhdher commited on
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End of training

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README.md CHANGED
@@ -1,13 +1,13 @@
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  ---
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  library_name: transformers
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  language:
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- - dv
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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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- - mozilla-foundation/common_voice_13_0
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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: Common Voice 13
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- type: mozilla-foundation/common_voice_13_0
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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: 13.414125256459297
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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
@@ -33,11 +30,11 @@ should probably proofread and complete it, then remove this comment. -->
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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 Common Voice 13 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1723
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- - Wer Ortho: 62.8735
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- - Wer: 13.4141
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  ## Model description
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@@ -68,9 +65,9 @@ The following hyperparameters were used during training:
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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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- | 0.1202 | 1.6287 | 500 | 0.1723 | 62.8735 | 13.4141 |
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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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