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--- |
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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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- 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-base-khmer-aug |
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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-base-khmer-aug |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4161 |
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- Wer: 73.7474 |
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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: 8 |
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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: 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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| 1.0144 | 0.9989 | 669 | 0.6891 | 100.4865 | |
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| 0.5319 | 1.9993 | 1339 | 0.4952 | 89.9303 | |
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| 0.4108 | 2.9996 | 2009 | 0.4335 | 88.0979 | |
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| 0.3458 | 4.0 | 2679 | 0.4046 | 79.3903 | |
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| 0.3025 | 4.9989 | 3348 | 0.3869 | 76.9256 | |
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| 0.2688 | 5.9993 | 4018 | 0.3794 | 81.5145 | |
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| 0.2427 | 6.9996 | 4688 | 0.3875 | 77.5904 | |
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| 0.2187 | 8.0 | 5358 | 0.3883 | 74.6392 | |
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| 0.201 | 8.9989 | 6027 | 0.4046 | 74.5581 | |
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| 0.182 | 9.9888 | 6690 | 0.4161 | 73.7474 | |
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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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