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EzraWilliam
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wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod13

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
EzraWilliam commited on
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End of training

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Files changed (2) hide show
  1. README.md +17 -17
  2. model.safetensors +1 -1
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: 0.5518989675516224
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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: 0.5399
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- - Wer: 0.5519
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  ## Model description
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@@ -65,16 +65,16 @@ 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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- | 4.7217 | 0.9 | 500 | 2.9517 | 1.0 |
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- | 2.9149 | 1.8 | 1000 | 2.8778 | 1.0 |
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- | 2.851 | 2.7 | 1500 | 2.6437 | 1.0 |
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- | 2.0653 | 3.6 | 2000 | 1.0367 | 0.8727 |
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- | 1.1893 | 4.5 | 2500 | 0.7226 | 0.7006 |
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- | 0.9685 | 5.4 | 3000 | 0.6301 | 0.6358 |
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- | 0.8742 | 6.29 | 3500 | 0.5778 | 0.5890 |
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- | 0.8076 | 7.19 | 4000 | 0.5576 | 0.5696 |
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- | 0.7624 | 8.09 | 4500 | 0.5412 | 0.5525 |
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- | 0.7604 | 8.99 | 5000 | 0.5399 | 0.5519 |
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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: 0.4928097345132743
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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: 0.4972
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+ - Wer: 0.4928
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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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+ | 4.7378 | 0.9 | 500 | 2.9498 | 1.0 |
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+ | 2.91 | 1.8 | 1000 | 2.8716 | 1.0 |
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+ | 2.683 | 2.7 | 1500 | 1.9348 | 1.0 |
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+ | 1.5179 | 3.6 | 2000 | 0.8042 | 0.6992 |
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+ | 1.014 | 4.5 | 2500 | 0.6370 | 0.5932 |
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+ | 0.87 | 5.4 | 3000 | 0.5648 | 0.5443 |
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+ | 0.795 | 6.29 | 3500 | 0.5328 | 0.5177 |
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+ | 0.742 | 7.19 | 4000 | 0.5148 | 0.5016 |
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+ | 0.701 | 8.09 | 4500 | 0.4969 | 0.4943 |
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+ | 0.7002 | 8.99 | 5000 | 0.4972 | 0.4928 |
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  ### Framework versions
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