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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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base_model: openai/whisper-medium |
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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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- Marcusxx/chungnamFireStation3Kfiles |
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metrics: |
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- wer |
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model-index: |
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- name: chungnam_firestation3Kfiles_WER_model |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: Marcusxx/chungnamFireStation3Kfiles |
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type: Marcusxx/chungnamFireStation3Kfiles |
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args: 'config: ko, split: valid' |
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metrics: |
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- type: wer |
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value: 54.347826086956516 |
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name: Wer |
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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_firestation3Kfiles_WER_model |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Marcusxx/chungnamFireStation3Kfiles dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2164 |
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- Wer: 54.3478 |
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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: 2000 |
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- training_steps: 20000 |
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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 | Wer | |
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|:-------------:|:--------:|:-----:|:---------------:|:--------:| |
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| 0.0826 | 6.6667 | 1000 | 0.6837 | 170.3934 | |
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| 0.0377 | 13.3333 | 2000 | 0.7952 | 108.2816 | |
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| 0.0131 | 20.0 | 3000 | 0.8730 | 56.7288 | |
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| 0.0066 | 26.6667 | 4000 | 0.8840 | 54.6584 | |
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| 0.0015 | 33.3333 | 5000 | 0.9585 | 55.2795 | |
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| 0.0123 | 40.0 | 6000 | 0.9682 | 55.9006 | |
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| 0.0006 | 46.6667 | 7000 | 1.0101 | 53.7267 | |
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| 0.0022 | 53.3333 | 8000 | 1.0249 | 55.7971 | |
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| 0.002 | 60.0 | 9000 | 1.0083 | 57.4534 | |
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| 0.0 | 66.6667 | 10000 | 1.0515 | 55.3830 | |
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| 0.0 | 73.3333 | 11000 | 1.0877 | 54.7619 | |
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| 0.0 | 80.0 | 12000 | 1.1063 | 54.9689 | |
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| 0.0 | 86.6667 | 13000 | 1.1240 | 55.3830 | |
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| 0.0 | 93.3333 | 14000 | 1.1405 | 55.1760 | |
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| 0.0 | 100.0 | 15000 | 1.1579 | 54.7619 | |
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| 0.0 | 106.6667 | 16000 | 1.1736 | 54.9689 | |
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| 0.0 | 113.3333 | 17000 | 1.1890 | 54.9689 | |
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| 0.0 | 120.0 | 18000 | 1.2021 | 54.4513 | |
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| 0.0 | 126.6667 | 19000 | 1.2120 | 54.3478 | |
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| 0.0 | 133.3333 | 20000 | 1.2164 | 54.3478 | |
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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 3.2.0 |
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- Tokenizers 0.19.1 |
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