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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large_v2-asd_v1 |
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results: [] |
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datasets: |
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- slplab/asd_apac |
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language: |
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- ko |
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pipeline_tag: automatic-speech-recognition |
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duplicated_from: slplab/whisper-large_v2-asd_v1 |
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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-asd_v1 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on [slplab/asd_apac](https://huggingface.co/slplab/asd_apac) dataset. |
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It achieves the following results on the validation set: |
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- Loss: 0.8553 |
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- Wer: 78.4722 |
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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: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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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_ratio: 0.1 |
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- training_steps: 1000 |
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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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| 0.0617 | 10.53 | 100 | 0.6858 | 81.9444 | |
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| 0.004 | 21.05 | 200 | 0.7322 | 79.8611 | |
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| 0.0005 | 31.58 | 300 | 0.7923 | 80.5556 | |
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| 0.0003 | 42.11 | 400 | 0.8131 | 79.1667 | |
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| 0.0002 | 52.63 | 500 | 0.8263 | 76.7361 | |
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| 0.0002 | 63.16 | 600 | 0.8365 | 77.4306 | |
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| 0.0002 | 73.68 | 700 | 0.8451 | 78.4722 | |
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| 0.0002 | 84.21 | 800 | 0.8503 | 78.4722 | |
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| 0.0002 | 94.74 | 900 | 0.8541 | 78.4722 | |
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| 0.0002 | 105.26 | 1000 | 0.8553 | 78.4722 | |
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### Test results |
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- Loss: 0.6359 |
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- Wer: 36.6876 |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
