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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-kcc-v2 |
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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-kcc-v2 |
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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: 0.6443 |
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- Wer: 46.0250 |
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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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| 1.8936 | 1.0 | 862 | 0.8037 | 61.5162 | |
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| 0.8143 | 2.0 | 1724 | 0.6129 | 55.2047 | |
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| 0.6306 | 3.0 | 2586 | 0.5592 | 46.5133 | |
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| 0.52 | 4.0 | 3448 | 0.5522 | 53.2805 | |
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| 0.4271 | 5.0 | 4310 | 0.5466 | 44.1696 | |
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| 0.3484 | 6.0 | 5172 | 0.5576 | 49.7975 | |
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| 0.2951 | 7.0 | 6034 | 0.5875 | 46.6725 | |
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| 0.2524 | 8.0 | 6896 | 0.6020 | 47.5767 | |
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| 0.2156 | 9.0 | 7758 | 0.6260 | 45.0557 | |
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| 0.1878 | 10.0 | 8620 | 0.6443 | 46.0250 | |
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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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