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--- |
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base_model: openai/whisper-large-v3 |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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language: |
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- th |
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library_name: peft |
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license: apache-2.0 |
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metrics: |
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- wer |
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- ter |
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- chrf |
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- cer |
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- bleu |
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- suber |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Large V3 Thai Lora - Magi Boss |
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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: Common Voice 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: th |
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split: None |
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args: 'config: th, split: validation' |
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metrics: |
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- type: wer |
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value: 0.8101 |
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name: Wer |
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- name: Ter |
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type: ter |
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value: 81.0089 |
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- name: ChrF |
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type: chrf |
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value: 87.4811 |
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- name: CER |
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type: cer |
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value: 0.1041 |
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- type: bleu |
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value: 8.7391 |
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name: Bleu |
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- name: SubER |
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type: suber |
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value: 0.8189 |
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pipeline_tag: automatic-speech-recognition |
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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 V3 Thai Lora - Magi Boss |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the Common Voice 11.0 dataset (Training Set 20000 row, Validation Set 500 row). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1894 |
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- WER: 0.8101 |
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- TER: 81.0089 |
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- ChrF: 87.4811 |
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- CER: 0.1041 |
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- BLEU: 8.7391 |
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- SubER: 0.8189 |
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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: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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_steps: 25 |
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- num_epochs: 1 |
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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 | Ter | Chrf | Cer | Bleu | SubER | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-------:|:------:|:------:|:---------:| |
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| 0.3053 | 0.32 | 50 | 0.2052 | 0.8457 | 84.5697 | 86.6971 | 0.1115 | 7.8703 | 0.8640 | |
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| 0.3752 | 0.64 | 100 | 0.1937 | 0.8323 | 83.2344 | 86.9801 | 0.1087 | 8.1510 | 0.8469 | |
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| 0.2794 | 0.96 | 150 | 0.1894 | 0.8101 | 81.0089 | 87.4811 | 0.1041 | 8.7391 | 0.8189 | |
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### Framework versions |
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- PEFT 0.12.1.dev0 |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
