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End of training

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  1. README.md +69 -0
  2. generation_config.json +167 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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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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+ - hyk000/woerae
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+ model-index:
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+ - name: wr_md
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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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+ # wr_md
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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 wr_ds dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0903
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+ - Cer: 9.2605
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 4000
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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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+ | 0.0486 | 3.8462 | 1000 | 0.1159 | 7.9222 |
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+ | 0.0034 | 7.6923 | 2000 | 0.0927 | 11.2435 |
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+ | 0.0015 | 11.5385 | 3000 | 0.0906 | 10.8821 |
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+ | 0.0012 | 15.3846 | 4000 | 0.0903 | 9.2605 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.0.dev0
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+ - Pytorch 2.5.0
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+ - Datasets 3.0.2
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+ - Tokenizers 0.20.1
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