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End of training

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README.md CHANGED
@@ -1,27 +1,27 @@
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  ---
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- base_model: openai/whisper-base
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- datasets:
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- - Oyounghyun/whisper_study_data
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  language:
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  - ko
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  license: apache-2.0
 
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  tags:
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  - hf-asr-leaderboard
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  - generated_from_trainer
 
 
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  model-index:
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- - name: study0702
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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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- # study0702
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the train dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1707
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- - Cer: 6.3423
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  ## Model description
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@@ -46,24 +46,19 @@ 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: 10
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- - training_steps: 1000
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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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- | 0.2677 | 0.9615 | 100 | 0.2343 | 8.5421 |
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- | 0.1167 | 1.9231 | 200 | 0.1853 | 7.1773 |
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- | 0.0532 | 2.8846 | 300 | 0.1747 | 6.6635 |
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- | 0.0284 | 3.8462 | 400 | 0.1718 | 6.7919 |
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- | 0.0174 | 4.8077 | 500 | 0.1705 | 6.3423 |
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- | 0.0081 | 5.7692 | 600 | 0.1689 | 5.9891 |
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- | 0.0069 | 6.7308 | 700 | 0.1702 | 6.2781 |
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- | 0.0053 | 7.6923 | 800 | 0.1702 | 6.5511 |
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- | 0.0045 | 8.6538 | 900 | 0.1703 | 6.3263 |
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- | 0.0048 | 9.6154 | 1000 | 0.1707 | 6.3423 |
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  ### Framework versions
 
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  ---
 
 
 
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  language:
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  - ko
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  license: apache-2.0
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+ base_model: openai/whisper-base
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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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+ - Oyounghyun/whisper_study_data
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  model-index:
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+ - name: study0703
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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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+ # study0703
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the train dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1988
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+ - Cer: 6.6313
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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: 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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+ | 0.004 | 9.6154 | 1000 | 0.1731 | 6.3102 |
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+ | 0.0007 | 19.2308 | 2000 | 0.1849 | 6.3584 |
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+ | 0.0004 | 28.8462 | 3000 | 0.1921 | 6.4226 |
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+ | 0.0003 | 38.4615 | 4000 | 0.1968 | 6.5992 |
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+ | 0.0002 | 48.0769 | 5000 | 0.1988 | 6.6313 |
 
 
 
 
 
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  ### Framework versions
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