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End of training

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README.md CHANGED
@@ -7,9 +7,22 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - mozilla-foundation/common_voice_11_0
 
 
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  model-index:
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  - name: Whisper Small Hi - Sanchit Gandhi
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- results: []
 
 
 
 
 
 
 
 
 
 
 
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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
@@ -18,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Small Hi - Sanchit Gandhi
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  This model is a fine-tuned version of [nurzhanit/dlc_audio](https://huggingface.co/nurzhanit/dlc_audio) on the Common Voice 11.0 dataset.
 
 
 
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  ## Model description
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@@ -43,10 +59,13 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 20
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- - training_steps: 6
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  ### Training results
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  ### Framework versions
 
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  - generated_from_trainer
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  datasets:
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  - mozilla-foundation/common_voice_11_0
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+ metrics:
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+ - wer
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  model-index:
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  - name: Whisper Small Hi - Sanchit Gandhi
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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 11.0
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+ type: mozilla-foundation/common_voice_11_0
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+ args: 'config: hi, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 18.461538461538463
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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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  # Whisper Small Hi - Sanchit Gandhi
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  This model is a fine-tuned version of [nurzhanit/dlc_audio](https://huggingface.co/nurzhanit/dlc_audio) on the Common Voice 11.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0018
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+ - Wer: 18.4615
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 20
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+ - training_steps: 60
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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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+ | 0.0022 | 50.0 | 50 | 0.0018 | 18.4615 |
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  ### Framework versions
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