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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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+ - jindol/debugged_03_Whisper_datasets
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+ model-index:
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+ - name: repo_name
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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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+ # repo_name
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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 debugged_03_Whisper_datasets dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6540
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+ - Cer: 32.5714
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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 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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+ | 0.0001 | 500.0 | 1000 | 1.4956 | 32.5714 |
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+ | 0.0001 | 1000.0 | 2000 | 1.5831 | 36.0 |
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+ | 0.0 | 1500.0 | 3000 | 1.6306 | 32.5714 |
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+ | 0.0 | 2000.0 | 4000 | 1.6540 | 32.5714 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.2
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+ - Pytorch 2.0.1
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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