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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-medium
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: CHUNGNAM_FM_AddressesM_model
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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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+ # CHUNGNAM_FM_AddressesM_model
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+
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0028
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+ - Cer: 0.3136
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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: 100
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+ - training_steps: 10000
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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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+ | 0.0183 | 0.6906 | 1000 | 0.0229 | 12.0681 |
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+ | 0.0122 | 1.3812 | 2000 | 0.0123 | 6.4812 |
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+ | 0.001 | 2.0718 | 3000 | 0.0069 | 1.0985 |
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+ | 0.0024 | 2.7624 | 4000 | 0.0048 | 0.6624 |
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+ | 0.0022 | 3.4530 | 5000 | 0.0053 | 0.1633 |
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+ | 0.0011 | 4.1436 | 6000 | 0.0033 | 0.0983 |
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+ | 0.0002 | 4.8343 | 7000 | 0.0029 | 2.2785 |
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+ | 0.0002 | 5.5249 | 8000 | 0.0029 | 0.8869 |
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+ | 0.0 | 6.2155 | 9000 | 0.0033 | 0.3470 |
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+ | 0.0 | 6.9061 | 10000 | 0.0028 | 0.3136 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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