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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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datasets: |
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- hyojin99/EBRC |
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base_model: openai/whisper-base |
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model-index: |
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- name: ft_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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# ft_model |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the EBRC dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4181 |
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- Cer: 15.8554 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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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: 50 |
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- training_steps: 7500 |
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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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| 0.4744 | 1.0 | 1250 | 0.4683 | 20.8493 | |
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| 0.24 | 2.0 | 2500 | 0.4053 | 18.0384 | |
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| 0.1392 | 3.0 | 3750 | 0.3982 | 17.4262 | |
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| 0.0664 | 4.0 | 5000 | 0.4042 | 16.7622 | |
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| 0.0273 | 5.0 | 6250 | 0.4119 | 16.3872 | |
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| 0.0096 | 6.0 | 7500 | 0.4181 | 15.8554 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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