EzraWilliam commited on
Commit
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1 Parent(s): c7e9209

End of training

Browse files
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: 2.8568
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  - Wer: 1.0
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  ## Model description
@@ -60,7 +60,7 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 16
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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: 200
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  - num_epochs: 60
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  - mixed_precision_training: Native AMP
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@@ -68,13 +68,12 @@ 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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- | 5.1129 | 7.69 | 100 | 2.8923 | 1.0 |
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- | 2.9331 | 15.38 | 200 | 2.8727 | 1.0 |
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- | 2.9461 | 23.08 | 300 | 2.8772 | 1.0 |
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- | 2.8889 | 30.77 | 400 | 2.8769 | 1.0 |
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- | 2.8836 | 38.46 | 500 | 2.8693 | 1.0 |
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- | 2.8748 | 46.15 | 600 | 2.8611 | 1.0 |
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- | 2.8633 | 53.85 | 700 | 2.8568 | 1.0 |
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  ### Framework versions
 
1
  ---
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  license: apache-2.0
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+ base_model: facebook/wav2vec2-large-xlsr-53
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  tags:
5
  - generated_from_trainer
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  datasets:
7
  - xtreme_s
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  metrics:
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  - wer
 
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  model-index:
11
  - 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: 1.9422
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  - Wer: 1.0
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  ## Model description
 
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  - total_train_batch_size: 16
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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: 600
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  - num_epochs: 60
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  - mixed_precision_training: Native AMP
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|
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+ | 4.1308 | 9.23 | 300 | 2.8692 | 1.0 |
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+ | 2.8893 | 18.46 | 600 | 2.8467 | 1.0 |
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+ | 2.8682 | 27.69 | 900 | 2.8660 | 1.0 |
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+ | 2.84 | 36.92 | 1200 | 2.7426 | 1.0 |
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+ | 2.5025 | 46.15 | 1500 | 2.1426 | 1.0 |
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+ | 2.1729 | 55.38 | 1800 | 1.9422 | 1.0 |
 
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  ### Framework versions
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