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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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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-tiny-khmer-aug-v3 |
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results: [] |
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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-tiny-khmer-aug-v3 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2718 |
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- Wer: 65.2181 |
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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: 0.0001 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 10 |
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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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| 0.8309 | 1.0 | 793 | 0.4093 | 85.4873 | |
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| 0.3554 | 2.0 | 1586 | 0.2979 | 76.7634 | |
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| 0.2652 | 3.0 | 2379 | 0.2675 | 78.9201 | |
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| 0.2227 | 4.0 | 3172 | 0.2514 | 73.6014 | |
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| 0.1932 | 5.0 | 3965 | 0.2501 | 69.7908 | |
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| 0.1698 | 6.0 | 4758 | 0.2514 | 69.5476 | |
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| 0.1507 | 7.0 | 5551 | 0.2505 | 74.2014 | |
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| 0.1357 | 8.0 | 6344 | 0.2539 | 67.0991 | |
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| 0.1241 | 9.0 | 7137 | 0.2615 | 69.8719 | |
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| 0.1126 | 10.0 | 7930 | 0.2718 | 65.2181 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.3.1 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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