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End of training

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README.md CHANGED
@@ -4,24 +4,24 @@ language:
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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- - hf-asr-leaderboard
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  - generated_from_trainer
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  datasets:
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  - mozilla-foundation/common_voice_16_1
 
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  model-index:
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- - name: Whisper Small nan-tw - Taiwanese
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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
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  should probably proofread and complete it, then remove this comment. -->
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- # Whisper Small nan-tw - Taiwanese
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3647
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- - Cer: 28.4585
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  ## Model description
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@@ -46,19 +46,14 @@ 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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- - lr_scheduler_warmup_steps: 500
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- - training_steps: 5000
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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 | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.6816 | 0.65 | 1000 | 0.6212 | 43.9508 |
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- | 0.3575 | 1.29 | 2000 | 0.4729 | 34.6632 |
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- | 0.2899 | 1.94 | 3000 | 0.4043 | 31.3601 |
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- | 0.1543 | 2.58 | 4000 | 0.3714 | 28.9896 |
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- | 0.087 | 3.23 | 5000 | 0.3647 | 28.4585 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - mozilla-foundation/common_voice_16_1
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+ - mozilla-foundation/common_voice_15_0
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  model-index:
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+ - name: Whisper Small Taiwanese
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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
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  should probably proofread and complete it, then remove this comment. -->
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+ # Whisper Small Taiwanese
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 and the Common Voice 15.0 datasets.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4201
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+ - Cer: 32.6710
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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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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 1
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.3162 | 1.0 | 3111 | 0.4201 | 32.6710 |
 
 
 
 
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  ### Framework versions
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