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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-small |
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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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- arrow |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-kor3_de_3 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: whisper-kor3_de_3 |
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type: arrow |
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config: default |
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split: train |
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args: 'config: ko, split: valid' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 23.377308707124012 |
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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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# whisper-kor3_de_3 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the whisper-kor3_de_3 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3579 |
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- Wer: 23.3773 |
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- Cer: 10.7523 |
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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: 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: 100 |
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- training_steps: 400 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 0.1425 | 0.21 | 50 | 0.3326 | 24.2480 | 11.1910 | |
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| 0.1145 | 0.42 | 100 | 0.3466 | 23.6148 | 11.5938 | |
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| 0.1082 | 0.64 | 150 | 0.3518 | 29.3668 | 15.6717 | |
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| 0.0986 | 0.85 | 200 | 0.3485 | 24.3008 | 11.0256 | |
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| 0.0771 | 1.06 | 250 | 0.3536 | 23.5620 | 10.8314 | |
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| 0.0513 | 1.27 | 300 | 0.3576 | 23.3509 | 10.5437 | |
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| 0.0424 | 1.48 | 350 | 0.3587 | 23.6148 | 10.7811 | |
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| 0.0526 | 1.69 | 400 | 0.3579 | 23.3773 | 10.7523 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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