EzraWilliam commited on
Commit
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1 Parent(s): 148851d

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: facebook/wav2vec2-large-xlsr-53
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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: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod13
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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: 0.5251659292035398
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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
@@ -32,8 +32,8 @@ 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 common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5181
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- - Wer: 0.5252
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  ## Model description
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@@ -58,22 +58,25 @@ The following hyperparameters were used during training:
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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: 9
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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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- | 4.7243 | 1.0 | 556 | 2.9426 | 1.0 |
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- | 2.9083 | 2.0 | 1112 | 2.8444 | 1.0 |
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- | 2.7357 | 3.0 | 1668 | 1.2851 | 0.9653 |
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- | 1.5755 | 4.0 | 2224 | 0.7428 | 0.7008 |
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- | 1.0547 | 5.0 | 2780 | 0.6150 | 0.6204 |
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- | 0.908 | 6.0 | 3336 | 0.5685 | 0.5691 |
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- | 0.827 | 7.0 | 3892 | 0.5384 | 0.5444 |
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- | 0.775 | 8.0 | 4448 | 0.5243 | 0.5277 |
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- | 0.7225 | 9.0 | 5004 | 0.5181 | 0.5252 |
 
 
 
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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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  - common_voice_13_0
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  metrics:
 
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  - name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod13
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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: 0.4344579646017699
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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 common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4253
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+ - Wer: 0.4345
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  ## Model description
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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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+ | 4.7051 | 1.0 | 556 | 2.9406 | 1.0 |
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+ | 2.9144 | 2.0 | 1112 | 2.8497 | 1.0 |
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+ | 2.7392 | 3.0 | 1668 | 1.2240 | 0.9763 |
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+ | 1.5108 | 4.0 | 2224 | 0.6735 | 0.6265 |
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+ | 0.9692 | 5.0 | 2780 | 0.5435 | 0.5472 |
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+ | 0.8216 | 6.0 | 3336 | 0.5079 | 0.5058 |
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+ | 0.7343 | 7.0 | 3892 | 0.4788 | 0.4822 |
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+ | 0.6782 | 8.0 | 4448 | 0.4531 | 0.4569 |
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+ | 0.6089 | 9.0 | 5004 | 0.4535 | 0.4520 |
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+ | 0.5811 | 10.0 | 5560 | 0.4326 | 0.4381 |
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+ | 0.5669 | 11.0 | 6116 | 0.4287 | 0.4366 |
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+ | 0.5749 | 12.0 | 6672 | 0.4253 | 0.4345 |
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  ### Framework versions
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