EzraWilliam commited on
Commit
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1 Parent(s): 4ed01ba

End of training

Browse files
README.md CHANGED
@@ -1,8 +1,8 @@
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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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- base_model: openai/whisper-small
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  datasets:
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  - common_voice_13_0
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  metrics:
@@ -11,8 +11,8 @@ model-index:
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  - name: Compare-XLS-R-to-Whisper-demo-google-colab-Ezra_William_Prod
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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: common_voice_13_0
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  type: common_voice_13_0
@@ -20,9 +20,9 @@ model-index:
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  split: test
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  args: 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
@@ -52,21 +52,31 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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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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- - num_epochs: 3.0
 
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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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- | 0.0 | 1.0 | 556 | nan | 1.0 |
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- | 0.0 | 2.0 | 1112 | nan | 1.0 |
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- | 0.0 | 3.0 | 1668 | nan | 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: openai/whisper-small
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  tags:
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  - generated_from_trainer
 
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  datasets:
7
  - common_voice_13_0
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  metrics:
 
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  - name: Compare-XLS-R-to-Whisper-demo-google-colab-Ezra_William_Prod
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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_13_0
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  type: common_voice_13_0
 
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  split: test
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  args: 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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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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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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+ - num_epochs: 12
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+ - mixed_precision_training: Native AMP
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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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+ | 0.0 | 1.0 | 278 | nan | 1.0 |
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+ | 0.0 | 2.0 | 556 | nan | 1.0 |
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+ | 0.0 | 3.0 | 834 | nan | 1.0 |
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+ | 0.0 | 4.0 | 1112 | nan | 1.0 |
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+ | 0.0 | 5.0 | 1390 | nan | 1.0 |
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+ | 0.0 | 6.0 | 1668 | nan | 1.0 |
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+ | 0.0 | 7.0 | 1946 | nan | 1.0 |
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+ | 0.0 | 8.0 | 2224 | nan | 1.0 |
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+ | 0.0 | 9.0 | 2502 | nan | 1.0 |
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+ | 0.0 | 10.0 | 2780 | nan | 1.0 |
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+ | 0.0 | 11.0 | 3058 | nan | 1.0 |
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+ | 0.0 | 12.0 | 3336 | nan | 1.0 |
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  ### Framework versions
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