FunPang/whisper-small-Cantonese-test
Browse files- README.md +13 -12
- model.safetensors +1 -1
- runs/Sep21_22-07-24_asus2/events.out.tfevents.1726981646.asus2.29844.0 +3 -0
- training_args.bin +1 -1
README.md
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---
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base_model: openai/whisper-small
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datasets:
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- common_voice_13_0
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library_name: transformers
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license: apache-2.0
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metrics:
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- wer
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tags:
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- generated_from_trainer
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model-index:
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- name: whisper-small-Cantonese-test
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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_13_0
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type: common_voice_13_0
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split: test
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args: zh-HK
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metrics:
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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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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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## Model description
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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: 10
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- training_steps:
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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.
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### Framework versions
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---
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library_name: transformers
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_13_0
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metrics:
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- wer
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model-index:
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- name: whisper-small-Cantonese-test
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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: common_voice_13_0
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type: common_voice_13_0
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split: test
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args: zh-HK
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metrics:
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- name: Wer
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type: wer
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value: 71.49724051985046
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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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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3400
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- Wer: 71.4972
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## Model description
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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: 10
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- training_steps: 200
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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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| 0.5135 | 0.1140 | 100 | 0.4197 | 78.8143 |
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| 0.4537 | 0.2281 | 200 | 0.3400 | 71.4972 |
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### Framework versions
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model.safetensors
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runs/Sep21_22-07-24_asus2/events.out.tfevents.1726981646.asus2.29844.0
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training_args.bin
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