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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-v5 |
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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-v5 |
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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: 0.2692 |
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- Wer: 65.8991 |
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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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| 0.8233 | 1.0 | 793 | 0.4089 | 85.6008 | |
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| 0.3463 | 2.0 | 1586 | 0.2983 | 79.4389 | |
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| 0.2618 | 3.0 | 2379 | 0.2675 | 83.5739 | |
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| 0.2207 | 4.0 | 3172 | 0.2512 | 76.1635 | |
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| 0.1929 | 5.0 | 3965 | 0.2446 | 69.3692 | |
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| 0.1709 | 6.0 | 4758 | 0.2454 | 70.6502 | |
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| 0.1526 | 7.0 | 5551 | 0.2439 | 74.9635 | |
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| 0.1382 | 8.0 | 6344 | 0.2515 | 66.4018 | |
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| 0.1241 | 9.0 | 7137 | 0.2559 | 66.8721 | |
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| 0.1138 | 10.0 | 7930 | 0.2692 | 65.8991 | |
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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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