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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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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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base_model: openai/whisper-large |
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datasets: |
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- Marcusxx/chungnam_firestation |
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model-index: |
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- name: chungnam_large2_model |
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results: [] |
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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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# chungnam_large2_model |
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Marcusxx/chungnam_firestation dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0603 |
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- Cer: 21.8993 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 4000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | |
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|:-------------:|:-------:|:----:|:---------------:|:-------:| |
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| 0.1193 | 1.6556 | 250 | 0.1941 | 78.9065 | |
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| 0.0298 | 3.3113 | 500 | 0.0792 | 75.7698 | |
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| 0.0143 | 4.9669 | 750 | 0.0694 | 13.9568 | |
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| 0.0031 | 6.6225 | 1000 | 0.0602 | 8.8633 | |
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| 0.0005 | 8.2781 | 1250 | 0.0572 | 16.0 | |
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| 0.0027 | 9.9338 | 1500 | 0.0541 | 15.1942 | |
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| 0.0001 | 11.5894 | 1750 | 0.0563 | 16.9209 | |
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| 0.0003 | 13.2450 | 2000 | 0.0554 | 18.7914 | |
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| 0.0001 | 14.9007 | 2250 | 0.0572 | 18.9065 | |
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| 0.0001 | 16.5563 | 2500 | 0.0581 | 20.6619 | |
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| 0.0001 | 18.2119 | 2750 | 0.0588 | 19.7410 | |
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| 0.0 | 19.8675 | 3000 | 0.0593 | 21.0072 | |
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| 0.0 | 21.5232 | 3250 | 0.0598 | 22.2734 | |
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| 0.0 | 23.1788 | 3500 | 0.0601 | 21.9856 | |
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| 0.0 | 24.8344 | 3750 | 0.0603 | 21.8993 | |
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| 0.0 | 26.4901 | 4000 | 0.0603 | 21.8993 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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