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EzraWilliam
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wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
EzraWilliam commited on
Commit
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1 Parent(s): 69cffd9

End of training

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Files changed (3) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Apr07_11-32-54_061025b9b76c/events.out.tfevents.1712489694.061025b9b76c.801.0 +2 -2
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-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11
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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: 0.9790283923303835
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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: 1.2842
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- - Wer: 0.9790
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.001
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
@@ -65,11 +65,11 @@ 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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- | No log | 1.0 | 278 | 2.8704 | 1.0 |
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- | 3.0028 | 2.0 | 556 | 2.7109 | 1.0 |
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- | 3.0028 | 3.0 | 834 | 1.7576 | 1.0 |
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- | 2.1675 | 4.0 | 1112 | 1.4015 | 0.9856 |
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- | 2.1675 | 5.0 | 1390 | 1.2842 | 0.9790 |
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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-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11
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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: 0.545676622418879
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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: 0.5596
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+ - Wer: 0.5457
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 2.9464 | 1.0 | 278 | 2.9256 | 1.0 |
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+ | 2.8791 | 2.0 | 556 | 2.8265 | 1.0 |
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+ | 1.8014 | 3.0 | 834 | 0.8834 | 0.7608 |
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+ | 0.9143 | 4.0 | 1112 | 0.6072 | 0.5735 |
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+ | 0.8306 | 5.0 | 1390 | 0.5596 | 0.5457 |
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  ### Framework versions
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