Marcusxx commited on
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Model save

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README.md CHANGED
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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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  tags:
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- - hf-asr-leaderboard
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  - generated_from_trainer
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- base_model: openai/whisper-small
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- datasets:
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- - Marcusxx/CngFSt3T
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  model-index:
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  - name: CngFSt3T_small_model
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  results: []
@@ -18,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # CngFSt3T_small_model
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Marcusxx/CngFSt3T dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0723
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- - Cer: 135.0080
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  ## Model description
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@@ -40,7 +35,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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- | 0.0452 | 2.2321 | 1000 | 0.1419 | 74.5039 |
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- | 0.0061 | 4.4643 | 2000 | 0.0770 | 130.8381 |
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- | 0.0006 | 6.6964 | 3000 | 0.0710 | 118.6804 |
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- | 0.0003 | 8.9286 | 4000 | 0.0722 | 121.9459 |
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- | 0.0003 | 11.1607 | 5000 | 0.0723 | 135.0080 |
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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-small
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  tags:
 
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  - generated_from_trainer
 
 
 
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  model-index:
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  - name: CngFSt3T_small_model
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  results: []
 
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  # CngFSt3T_small_model
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1722
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+ - Cer: 158.1261
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | 0.4693 | 2.2321 | 1000 | 0.5347 | 45.6669 |
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+ | 0.2295 | 4.4643 | 2000 | 0.3416 | 101.5993 |
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+ | 0.1157 | 6.6964 | 3000 | 0.2390 | 136.4398 |
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+ | 0.071 | 8.9286 | 4000 | 0.1865 | 134.9996 |
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+ | 0.0579 | 11.1607 | 5000 | 0.1722 | 158.1261 |
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  ### Framework versions
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