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--- |
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language: |
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- kr |
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license: apache-2.0 |
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base_model: openai/whisper-large-v2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- Jungwonchang/ksponspeech |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper large-v2, KsponSpeech |
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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: KsponSpeech |
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type: Jungwonchang/ksponspeech |
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config: dev |
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split: validation |
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args: dev |
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metrics: |
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- name: Wer |
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type: wer |
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value: 42.225687000584685 |
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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 large-v2, KsponSpeech |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the KsponSpeech dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2946 |
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- Wer: 42.2257 |
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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: 50 |
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- training_steps: 2000 |
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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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| 0.3315 | 0.25 | 500 | 0.3446 | 41.5319 | |
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| 0.3204 | 0.5 | 1000 | 0.3229 | 37.7003 | |
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| 0.2967 | 0.75 | 1500 | 0.3054 | 38.3980 | |
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| 0.2859 | 1.0 | 2000 | 0.2946 | 42.2257 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.14.0 |
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- Tokenizers 0.12.1 |
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