Tim Leiber commited on
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End of training

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README.md CHANGED
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  ---
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  language:
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  - fr
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- license: apache-2.0
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- base_model: facebook/wav2vec2-large-xlsr-53
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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_17_0
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- metrics:
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- - wer
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  model-index:
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  - name: acoustic_model0_cv_17_fr_XLSR-53
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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 17
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- type: mozilla-foundation/common_voice_17_0
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- config: fr
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- split: test
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- args: fr
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- metrics:
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- - name: Wer
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- type: wer
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- value: 0.533356948872358
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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
@@ -32,10 +15,15 @@ should probably proofread and complete it, then remove this comment. -->
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  # acoustic_model0_cv_17_fr_XLSR-53
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- This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the Common Voice 17 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5859
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- - Wer: 0.5334
 
 
 
 
 
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  ## Model description
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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: 500
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- - training_steps: 1200
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  - mixed_precision_training: Native AMP
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:------:|:----:|:---------------:|:------:|
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- | 7.2 | 2.105 | 400 | 3.0327 | 0.9949 |
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- | 2.8531 | 5.0958 | 800 | 1.5473 | 0.9133 |
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- | 1.0966 | 8.0867 | 1200 | 0.5859 | 0.5334 |
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-
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-
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  ### Framework versions
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  - Transformers 4.40.0
 
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  ---
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  language:
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  - fr
 
 
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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_17_0
 
 
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  model-index:
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  - name: acoustic_model0_cv_17_fr_XLSR-53
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+ results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  # acoustic_model0_cv_17_fr_XLSR-53
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+ This model was trained from scratch on the Common Voice 17 dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.4810
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+ - eval_wer: 0.3881
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+ - eval_runtime: 167.4913
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+ - eval_samples_per_second: 6.538
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+ - eval_steps_per_second: 0.818
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+ - epoch: 11.0465
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+ - step: 1600
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  ## Model description
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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: 500
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+ - training_steps: 2000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.40.0
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