Marcusxx commited on
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Model save

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README.md CHANGED
@@ -1,12 +1,7 @@
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  ---
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- base_model: openai/whisper-medium
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- datasets:
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- - Marcusxx/chungnam_firestation
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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: chungnam_firestation_model
@@ -18,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # chungnam_firestation_model
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- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Marcusxx/chungnam_firestation dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0693
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- - Cer: 11.1079
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  ## Model description
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@@ -47,21 +42,25 @@ 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: 100
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- - training_steps: 2000
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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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- | 0.1482 | 1.6556 | 250 | 0.2164 | 44.3741 |
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- | 0.0162 | 3.3113 | 500 | 0.0701 | 19.6547 |
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- | 0.0074 | 4.9669 | 750 | 0.0648 | 15.8849 |
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- | 0.0025 | 6.6225 | 1000 | 0.0600 | 17.9568 |
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- | 0.0003 | 8.2781 | 1250 | 0.0651 | 15.0791 |
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- | 0.0003 | 9.9338 | 1500 | 0.0674 | 11.6259 |
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- | 0.0003 | 11.5894 | 1750 | 0.0688 | 11.1079 |
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- | 0.0003 | 13.2450 | 2000 | 0.0693 | 11.1079 |
 
 
 
 
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  ### Framework versions
 
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  ---
 
 
 
 
 
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  license: apache-2.0
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+ base_model: openai/whisper-medium
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  tags:
 
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  - generated_from_trainer
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  model-index:
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  - name: chungnam_firestation_model
 
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  # chungnam_firestation_model
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0638
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+ - Cer: 31.1655
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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: 100
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+ - training_steps: 3000
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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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+ | 0.1397 | 1.6556 | 250 | 0.2156 | 53.2086 |
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+ | 0.0187 | 3.3113 | 500 | 0.0887 | 15.2230 |
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+ | 0.0187 | 4.9669 | 750 | 0.0559 | 25.6978 |
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+ | 0.002 | 6.6225 | 1000 | 0.0626 | 20.4604 |
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+ | 0.0004 | 8.2781 | 1250 | 0.0588 | 28.5755 |
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+ | 0.0012 | 9.9338 | 1500 | 0.0603 | 34.9640 |
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+ | 0.0002 | 11.5894 | 1750 | 0.0597 | 34.0432 |
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+ | 0.0002 | 13.2450 | 2000 | 0.0603 | 28.8058 |
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+ | 0.0001 | 14.9007 | 2250 | 0.0620 | 28.1439 |
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+ | 0.0001 | 16.5563 | 2500 | 0.0630 | 31.6547 |
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+ | 0.0001 | 18.2119 | 2750 | 0.0636 | 31.1079 |
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+ | 0.0001 | 19.8675 | 3000 | 0.0638 | 31.1655 |
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  ### Framework versions
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