Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large
+tags:
+- generated_from_trainer
+model-index:
+- name: gwanju_large2_model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# gwanju_large2_model
+
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3321
+- Cer: 438.5339
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Cer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.4681        | 0.0741 | 250  | 0.4882          | 92.4888  |
+| 0.4609        | 0.1482 | 500  | 0.4507          | 180.4507 |
+| 0.4749        | 0.2223 | 750  | 0.4351          | 148.4249 |
+| 0.4248        | 0.2964 | 1000 | 0.4260          | 50.0864  |
+| 0.4433        | 0.3705 | 1250 | 0.3998          | 107.5518 |
+| 0.3667        | 0.4446 | 1500 | 0.3907          | 296.2817 |
+| 0.3805        | 0.5187 | 1750 | 0.3795          | 308.2578 |
+| 0.3571        | 0.5928 | 2000 | 0.3770          | 396.0998 |
+| 0.4312        | 0.6669 | 2250 | 0.3644          | 470.9584 |
+| 0.3445        | 0.7410 | 2500 | 0.3562          | 392.7995 |
+| 0.4036        | 0.8151 | 2750 | 0.3485          | 468.5345 |
+| 0.3523        | 0.8892 | 3000 | 0.3426          | 459.9051 |
+| 0.3541        | 0.9632 | 3250 | 0.3377          | 456.2648 |
+| 0.2252        | 1.0373 | 3500 | 0.3343          | 450.6082 |
+| 0.2063        | 1.1114 | 3750 | 0.3333          | 444.6852 |
+| 0.2018        | 1.1855 | 4000 | 0.3321          | 438.5339 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

generation_config.json

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+}

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