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--- |
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language: |
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- th |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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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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- mozilla-foundation/common_voice_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base Thai |
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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: mozilla-foundation/common_voice_16_0 th |
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type: mozilla-foundation/common_voice_16_0 |
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config: th |
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split: test |
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args: th |
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metrics: |
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- name: Wer |
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type: wer |
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value: 44.56011784657663 |
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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 Base Thai |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_16_0 th dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4390 |
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- Wer: 44.5601 |
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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: 5e-07 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 500 |
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- training_steps: 10000 |
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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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| 0.8395 | 1.02 | 500 | 0.7280 | 60.6811 | |
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| 0.7819 | 2.03 | 1000 | 0.6414 | 56.1244 | |
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| 0.6456 | 4.01 | 1500 | 0.5940 | 53.4778 | |
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| 0.6091 | 5.03 | 2000 | 0.5633 | 52.0691 | |
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| 0.5465 | 7.01 | 2500 | 0.5383 | 50.4822 | |
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| 0.5406 | 8.02 | 3000 | 0.5200 | 49.5537 | |
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| 0.4863 | 10.01 | 3500 | 0.5047 | 48.9992 | |
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| 0.4691 | 11.02 | 4000 | 0.4919 | 47.9767 | |
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| 0.5183 | 13.0 | 4500 | 0.4823 | 47.6833 | |
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| 0.5025 | 14.02 | 5000 | 0.4730 | 46.7202 | |
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| 0.5426 | 15.03 | 5500 | 0.4661 | 46.3501 | |
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| 0.4713 | 17.01 | 6000 | 0.4594 | 45.9985 | |
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| 0.4274 | 18.03 | 6500 | 0.4546 | 45.6061 | |
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| 0.4248 | 20.01 | 7000 | 0.4500 | 45.3598 | |
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| 0.4404 | 21.03 | 7500 | 0.4467 | 45.1097 | |
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| 0.4144 | 23.01 | 8000 | 0.4438 | 44.8411 | |
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| 0.4004 | 24.02 | 8500 | 0.4416 | 44.6938 | |
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| 0.4165 | 26.0 | 9000 | 0.4403 | 44.6443 | |
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| 0.4218 | 27.02 | 9500 | 0.4393 | 44.5750 | |
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| 0.453 | 28.03 | 10000 | 0.4390 | 44.5601 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.0 |
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