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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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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- fleurs |
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metrics: |
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- wer |
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base_model: openai/whisper-small |
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model-index: |
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- name: Whisper Small Ko(FLUERS) - by p4b |
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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: FLUERS Korean |
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type: fleurs |
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config: ko_kr |
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split: validation |
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args: ko_kr |
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metrics: |
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- type: wer |
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value: 148.1005085252767 |
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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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# Whisper Small Ko(FLUERS) - by p4b |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the FLUERS Korean dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4512 |
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- Wer: 148.1005 |
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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-07 |
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- train_batch_size: 96 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 4000 |
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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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| 0.6003 | 32.0 | 800 | 0.5913 | 167.2749 | |
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| 0.459 | 64.0 | 1600 | 0.4978 | 170.9841 | |
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| 0.4035 | 96.0 | 2400 | 0.4653 | 168.5911 | |
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| 0.3812 | 128.0 | 3200 | 0.4531 | 149.4765 | |
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| 0.3766 | 160.0 | 4000 | 0.4512 | 148.1005 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.14.0.dev20221208+cu116 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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