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hyojin99
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whisper_hyojin

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
hyojin99 commited on
Commit
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1 Parent(s): 6684504

End of training

Browse files
Files changed (4) hide show
  1. README.md +19 -13
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Mar20_21-44-59_b2a4d70b3dce/events.out.tfevents.1710971100.b2a4d70b3dce.406.0 +2 -2
README.md CHANGED
@@ -2,12 +2,12 @@
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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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  datasets:
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  - hyojin99/EBRC
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- base_model: openai/whisper-base
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  model-index:
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  - name: ft_model
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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 EBRC dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4271
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- - Cer: 19.8362
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  ## Model description
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@@ -47,24 +47,30 @@ 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: 50
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- - training_steps: 6000
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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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- | 0.5853 | 0.4 | 1000 | 0.5518 | 34.2215 |
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- | 0.4595 | 0.8 | 2000 | 0.4852 | 23.2105 |
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- | 0.313 | 1.2 | 3000 | 0.4593 | 21.0304 |
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- | 0.327 | 1.6 | 4000 | 0.4400 | 21.5894 |
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- | 0.311 | 2.0 | 5000 | 0.4277 | 19.6565 |
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- | 0.2514 | 2.4 | 6000 | 0.4271 | 19.8362 |
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.39.0.dev0
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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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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  - hyojin99/EBRC
 
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  model-index:
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  - name: ft_model
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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 EBRC dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4127
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+ - Cer: 18.2381
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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: 50
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+ - training_steps: 12000
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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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+ | 0.5845 | 0.4 | 1000 | 0.5512 | 34.8150 |
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+ | 0.4598 | 0.8 | 2000 | 0.4840 | 22.6069 |
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+ | 0.3077 | 1.2 | 3000 | 0.4570 | 20.7128 |
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+ | 0.3212 | 1.6 | 4000 | 0.4381 | 21.4198 |
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+ | 0.3027 | 2.0 | 5000 | 0.4181 | 20.1164 |
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+ | 0.219 | 2.4 | 6000 | 0.4180 | 19.6479 |
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+ | 0.2373 | 2.8 | 7000 | 0.4089 | 18.6477 |
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+ | 0.1342 | 3.2 | 8000 | 0.4127 | 18.3603 |
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+ | 0.1601 | 3.6 | 9000 | 0.4104 | 18.4824 |
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+ | 0.1489 | 4.0 | 10000 | 0.4084 | 18.0628 |
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+ | 0.1308 | 4.4 | 11000 | 0.4134 | 18.2856 |
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+ | 0.114 | 4.8 | 12000 | 0.4127 | 18.2381 |
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  ### Framework versions
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+ - Transformers 4.40.0.dev0
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
generation_config.json CHANGED
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  "transcribe": 50359,
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  "translate": 50358
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  },
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- "transformers_version": "4.39.0.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": "4.40.0.dev0"
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  }
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