Oyounghyun commited on
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1 Parent(s): b8db4ba

End of training

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README.md CHANGED
@@ -1,13 +1,13 @@
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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: study0627
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  results: []
@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 2.2804
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- - Cer: 111.1239
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  ## Model description
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@@ -52,33 +52,33 @@ The following hyperparameters were used during training:
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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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- | 2.0845 | 3.8462 | 100 | 2.2118 | 776.7723 |
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- | 1.3061 | 7.6923 | 200 | 1.8671 | 197.1758 |
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- | 0.8206 | 11.5385 | 300 | 1.8098 | 305.6484 |
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- | 0.4922 | 15.3846 | 400 | 1.8203 | 165.5908 |
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- | 0.2646 | 19.2308 | 500 | 1.8687 | 171.3545 |
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- | 0.1408 | 23.0769 | 600 | 1.9448 | 124.7262 |
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- | 0.0696 | 26.9231 | 700 | 1.9645 | 145.9942 |
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- | 0.0407 | 30.7692 | 800 | 2.0531 | 128.3573 |
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- | 0.0194 | 34.6154 | 900 | 2.0781 | 101.7867 |
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- | 0.0103 | 38.4615 | 1000 | 2.1384 | 140.1153 |
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- | 0.0052 | 42.3077 | 1100 | 2.1840 | 117.4063 |
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- | 0.0036 | 46.1538 | 1200 | 2.2111 | 116.3112 |
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- | 0.0029 | 50.0 | 1300 | 2.2287 | 114.2939 |
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- | 0.0025 | 53.8462 | 1400 | 2.2440 | 116.8300 |
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- | 0.0022 | 57.6923 | 1500 | 2.2549 | 113.8905 |
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- | 0.002 | 61.5385 | 1600 | 2.2652 | 112.9107 |
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- | 0.0018 | 65.3846 | 1700 | 2.2701 | 111.8156 |
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- | 0.0018 | 69.2308 | 1800 | 2.2764 | 112.5072 |
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- | 0.0016 | 73.0769 | 1900 | 2.2792 | 112.1614 |
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- | 0.0017 | 76.9231 | 2000 | 2.2804 | 111.1239 |
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  ### Framework versions
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- - Transformers 4.42.0.dev0
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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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: study0627
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  results: []
 
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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: 0.0686
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+ - Cer: 2.4264
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  ## Model description
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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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+ | 0.0599 | 1.9608 | 100 | 0.1089 | 4.6347 |
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+ | 0.01 | 3.9216 | 200 | 0.0720 | 2.4264 |
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+ | 0.0033 | 5.8824 | 300 | 0.0682 | 3.0807 |
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+ | 0.002 | 7.8431 | 400 | 0.0670 | 2.5627 |
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+ | 0.0014 | 9.8039 | 500 | 0.0667 | 2.6718 |
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+ | 0.0011 | 11.7647 | 600 | 0.0667 | 2.5082 |
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+ | 0.0009 | 13.7255 | 700 | 0.0668 | 2.7263 |
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+ | 0.0008 | 15.6863 | 800 | 0.0671 | 2.5082 |
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+ | 0.0007 | 17.6471 | 900 | 0.0674 | 2.5082 |
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+ | 0.0006 | 19.6078 | 1000 | 0.0675 | 2.6172 |
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+ | 0.0005 | 21.5686 | 1100 | 0.0675 | 2.5082 |
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+ | 0.0005 | 23.5294 | 1200 | 0.0676 | 2.3991 |
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+ | 0.0005 | 25.4902 | 1300 | 0.0679 | 2.3991 |
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+ | 0.0004 | 27.4510 | 1400 | 0.0682 | 2.4264 |
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+ | 0.0004 | 29.4118 | 1500 | 0.0682 | 2.4264 |
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+ | 0.0004 | 31.3725 | 1600 | 0.0684 | 2.4264 |
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+ | 0.0003 | 33.3333 | 1700 | 0.0684 | 2.4264 |
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+ | 0.0004 | 35.2941 | 1800 | 0.0685 | 2.4264 |
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+ | 0.0004 | 37.2549 | 1900 | 0.0685 | 2.4264 |
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+ | 0.0003 | 39.2157 | 2000 | 0.0686 | 2.4264 |
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  ### Framework versions
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+ - Transformers 4.43.0.dev0
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
generation_config.json CHANGED
@@ -252,5 +252,5 @@
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  "transcribe": 50359,
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  "translate": 50358
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  },
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- "transformers_version": "4.42.0.dev0"
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  }
 
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  "transcribe": 50359,
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  "translate": 50358
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  },
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+ "transformers_version": "4.43.0.dev0"
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  }
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