Marcusxx commited on
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Model save

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README.md CHANGED
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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: 0.0648
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- - Cer: 16.5180
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  ## Model description
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@@ -47,21 +42,23 @@ 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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- | 0.1522 | 1.6556 | 250 | 0.2270 | 61.8129 |
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- | 0.0178 | 3.3113 | 500 | 0.0794 | 71.1942 |
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- | 0.0087 | 4.9669 | 750 | 0.0727 | 31.7698 |
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- | 0.0037 | 6.6225 | 1000 | 0.0612 | 24.8345 |
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- | 0.0004 | 8.2781 | 1250 | 0.0646 | 35.1367 |
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- | 0.0004 | 9.9338 | 1500 | 0.0632 | 16.5468 |
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- | 0.0004 | 11.5894 | 1750 | 0.0644 | 16.8921 |
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- | 0.0004 | 13.2450 | 2000 | 0.0648 | 16.5180 |
 
 
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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: 0.0756
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+ - Cer: 52.2014
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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: 2500
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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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+ | 0.1473 | 1.6556 | 250 | 0.2276 | 54.4748 |
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+ | 0.0271 | 3.3113 | 500 | 0.0899 | 53.9281 |
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+ | 0.0082 | 4.9669 | 750 | 0.0735 | 64.8921 |
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+ | 0.0013 | 6.6225 | 1000 | 0.0682 | 35.7698 |
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+ | 0.0006 | 8.2781 | 1250 | 0.0703 | 60.6906 |
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+ | 0.0003 | 9.9338 | 1500 | 0.0705 | 54.7626 |
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+ | 0.0003 | 11.5894 | 1750 | 0.0710 | 56.8345 |
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+ | 0.0003 | 13.2450 | 2000 | 0.0737 | 53.5252 |
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+ | 0.0002 | 14.9007 | 2250 | 0.0752 | 52.4029 |
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+ | 0.0002 | 16.5563 | 2500 | 0.0756 | 52.2014 |
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  ### Framework versions
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