EzraWilliam commited on
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End of training

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README.md CHANGED
@@ -1,18 +1,18 @@
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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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  - xtreme_s
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  metrics:
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  - wer
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- base_model: facebook/wav2vec2-large-xlsr-53
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  model-index:
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  - name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod2
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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: xtreme_s
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  type: xtreme_s
@@ -20,9 +20,9 @@ model-index:
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  split: test
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  args: fleurs.id_id
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  metrics:
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- - type: wer
 
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  value: 1.0
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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
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
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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 xtreme_s dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8652
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  - Wer: 1.0
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  ## Model description
@@ -68,10 +68,13 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|
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- | 5.2884 | 14.29 | 100 | 2.8917 | 1.0 |
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- | 2.9104 | 28.57 | 200 | 2.8763 | 1.0 |
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- | 2.9035 | 42.86 | 300 | 2.8750 | 1.0 |
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- | 2.877 | 57.14 | 400 | 2.8652 | 1.0 |
 
 
 
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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-large-xlsr-53
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  tags:
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  - generated_from_trainer
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  datasets:
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  - xtreme_s
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  metrics:
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  - wer
 
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  model-index:
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  - name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod2
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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: xtreme_s
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  type: xtreme_s
 
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  split: test
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  args: fleurs.id_id
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  metrics:
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+ - name: Wer
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+ type: wer
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  value: 1.0
 
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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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  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the xtreme_s dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.8476
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  - Wer: 1.0
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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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+ | 5.425 | 7.69 | 100 | 2.8770 | 1.0 |
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+ | 2.956 | 15.38 | 200 | 2.8734 | 1.0 |
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+ | 2.8938 | 23.08 | 300 | 2.8711 | 1.0 |
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+ | 2.8774 | 30.77 | 400 | 2.8916 | 1.0 |
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+ | 2.8593 | 38.46 | 500 | 2.9081 | 1.0 |
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+ | 2.8465 | 46.15 | 600 | 2.8869 | 1.0 |
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+ | 2.846 | 53.85 | 700 | 2.8476 | 1.0 |
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  ### Framework versions
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