End of training
Browse files- README.md +70 -0
- generation_config.json +171 -0
README.md
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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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- hyojin99/EBRC
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model-index:
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- name: ft_model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ft_model
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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: 0.1886
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- Cer: 10.6428
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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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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- 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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| 0.3649 | 0.4 | 1000 | 0.3399 | 18.5291 |
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| 0.2559 | 0.8 | 2000 | 0.2578 | 14.4563 |
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| 0.1746 | 1.2 | 3000 | 0.2247 | 13.3580 |
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| 0.1639 | 1.6 | 4000 | 0.2017 | 11.5004 |
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| 0.1251 | 2.0 | 5000 | 0.1909 | 10.8103 |
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| 0.1051 | 2.4 | 6000 | 0.1886 | 10.6428 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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generation_config.json
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{
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}
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