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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: 0.4416482300884956
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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: 0.4428
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- - Wer: 0.4416
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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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- | 2.9087 | 0.9 | 500 | 2.8298 | 1.0 |
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- | 2.2394 | 1.8 | 1000 | 1.0606 | 0.8388 |
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- | 1.1265 | 2.7 | 1500 | 0.6463 | 0.6179 |
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- | 0.8905 | 3.6 | 2000 | 0.5702 | 0.5400 |
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- | 0.7668 | 4.5 | 2500 | 0.5134 | 0.4991 |
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- | 0.7048 | 5.4 | 3000 | 0.4763 | 0.4715 |
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- | 0.667 | 6.29 | 3500 | 0.4657 | 0.4618 |
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- | 0.6309 | 7.19 | 4000 | 0.4515 | 0.4506 |
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- | 0.6002 | 8.09 | 4500 | 0.4407 | 0.4417 |
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- | 0.6036 | 8.99 | 5000 | 0.4428 | 0.4416 |
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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: 0.5390394542772862
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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: 0.5309
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+ - Wer: 0.5390
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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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+ | 4.6611 | 0.9 | 500 | 2.9516 | 1.0 |
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+ | 2.9146 | 1.8 | 1000 | 2.8772 | 1.0 |
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+ | 2.816 | 2.7 | 1500 | 2.4276 | 1.0 |
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+ | 1.9159 | 3.6 | 2000 | 1.0100 | 0.9116 |
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+ | 1.1756 | 4.5 | 2500 | 0.7206 | 0.7062 |
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+ | 0.9638 | 5.4 | 3000 | 0.6271 | 0.6327 |
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+ | 0.8657 | 6.29 | 3500 | 0.5767 | 0.5855 |
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+ | 0.7978 | 7.19 | 4000 | 0.5478 | 0.5578 |
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+ | 0.7513 | 8.09 | 4500 | 0.5329 | 0.5421 |
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+ | 0.7503 | 8.99 | 5000 | 0.5309 | 0.5390 |
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  ### Framework versions
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