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End of training

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README.md CHANGED
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  datasets:
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- - fleurs
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- metrics:
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- - wer
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- base_model: facebook/wav2vec2-base-960h
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  model-index:
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  - name: wav2vec2-base-fleurs-329-colab-a100-2
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- results:
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- - task:
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- type: automatic-speech-recognition
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- name: Automatic Speech Recognition
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- dataset:
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- name: fleurs
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- type: fleurs
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- config: en_us
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- split: test
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- args: en_us
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- metrics:
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- - type: wer
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- value: 0.9917617237008872
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- name: Wer
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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
@@ -30,10 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-base-fleurs-329-colab-a100-2
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- This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the fleurs dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 2.5431
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- - Wer: 0.9918
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  ## Model description
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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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- | 8.5696 | 2.45 | 200 | 5.0490 | 1.0 |
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- | 4.0587 | 4.91 | 400 | 3.3808 | 1.0 |
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- | 3.0272 | 7.36 | 600 | 2.7368 | 0.9954 |
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- | 2.6659 | 9.82 | 800 | 2.5431 | 0.9918 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: facebook/wav2vec2-base-960h
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - audiofolder
 
 
 
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  model-index:
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  - name: wav2vec2-base-fleurs-329-colab-a100-2
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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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  # wav2vec2-base-fleurs-329-colab-a100-2
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+ This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
 
 
 
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  ## Model description
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  ### Training results
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  ### Framework versions
config.json CHANGED
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  "num_hidden_layers": 12,
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  "num_negatives": 100,
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  "output_hidden_size": 768,
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- "pad_token_id": 28,
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  "proj_codevector_dim": 256,
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  "tdnn_dilation": [
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  1,
 
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  "num_hidden_layers": 12,
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  "num_negatives": 100,
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  "output_hidden_size": 768,
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+ "pad_token_id": 27,
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  "proj_codevector_dim": 256,
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  "tdnn_dilation": [
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