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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-v6 |
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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-v6 |
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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: 0.2583 |
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- Wer: 65.9478 |
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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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| 0.7761 | 0.9994 | 837 | 0.3819 | 88.5358 | |
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| 0.3222 | 2.0 | 1675 | 0.2888 | 79.8768 | |
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| 0.2456 | 2.9994 | 2512 | 0.2535 | 73.9419 | |
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| 0.2058 | 4.0 | 3350 | 0.2438 | 73.8447 | |
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| 0.1777 | 4.9994 | 4187 | 0.2391 | 69.8070 | |
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| 0.1577 | 6.0 | 5025 | 0.2397 | 68.3152 | |
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| 0.1421 | 6.9994 | 5862 | 0.2383 | 68.9801 | |
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| 0.1283 | 8.0 | 6700 | 0.2418 | 67.2612 | |
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| 0.1163 | 8.9994 | 7537 | 0.2475 | 69.7097 | |
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| 0.1052 | 9.9940 | 8370 | 0.2583 | 65.9478 | |
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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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