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End of training

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  1. README.md +89 -0
  2. generation_config.json +255 -0
  3. model.safetensors +1 -1
README.md ADDED
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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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+ - SsongSsong/cp-final-project
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+ model-index:
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+ - name: whisper_ko_finetune100k
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+ results: []
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+ ---
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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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+
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+ # whisper_ko_finetune100k
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+
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the ksponspeech dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4177
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+ - Cer: 15.0287
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 500
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+ - training_steps: 5000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.7481 | 0.03 | 200 | 0.7555 | 44.8484 |
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+ | 0.5393 | 0.06 | 400 | 0.5608 | 20.6969 |
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+ | 0.5012 | 0.1 | 600 | 0.5293 | 17.3680 |
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+ | 0.504 | 0.13 | 800 | 0.5075 | 17.5291 |
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+ | 0.4934 | 0.16 | 1000 | 0.4927 | 15.6846 |
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+ | 0.4958 | 0.19 | 1200 | 0.4838 | 17.7085 |
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+ | 0.4697 | 0.22 | 1400 | 0.4768 | 18.5884 |
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+ | 0.4501 | 0.26 | 1600 | 0.4688 | 16.5509 |
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+ | 0.4505 | 0.29 | 1800 | 0.4617 | 17.2548 |
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+ | 0.4434 | 0.32 | 2000 | 0.4566 | 15.7144 |
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+ | 0.4482 | 0.35 | 2200 | 0.4515 | 16.0023 |
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+ | 0.4333 | 0.38 | 2400 | 0.4465 | 14.8264 |
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+ | 0.433 | 0.42 | 2600 | 0.4444 | 15.2950 |
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+ | 0.4027 | 0.45 | 2800 | 0.4406 | 15.3715 |
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+ | 0.4181 | 0.48 | 3000 | 0.4376 | 14.8904 |
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+ | 0.4209 | 0.51 | 3200 | 0.4336 | 14.7853 |
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+ | 0.4535 | 0.54 | 3400 | 0.4303 | 15.2584 |
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+ | 0.4301 | 0.58 | 3600 | 0.4280 | 14.8824 |
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+ | 0.4474 | 0.61 | 3800 | 0.4255 | 15.2287 |
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+ | 0.4024 | 0.64 | 4000 | 0.4244 | 15.2515 |
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+ | 0.3891 | 0.67 | 4200 | 0.4224 | 15.8675 |
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+ | 0.411 | 0.7 | 4400 | 0.4206 | 15.0230 |
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+ | 0.383 | 0.74 | 4600 | 0.4194 | 14.9293 |
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+ | 0.4008 | 0.77 | 4800 | 0.4182 | 14.9818 |
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+ | 0.4164 | 0.8 | 5000 | 0.4177 | 15.0287 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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