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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-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-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: 0.2740 |
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- Wer: 69.5152 |
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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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| 0.8546 | 0.9993 | 766 | 0.4256 | 86.9629 | |
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| 0.3717 | 2.0 | 1533 | 0.3108 | 82.3739 | |
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| 0.283 | 2.9993 | 2299 | 0.2706 | 74.4446 | |
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| 0.2343 | 4.0 | 3066 | 0.2663 | 75.4338 | |
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| 0.2058 | 4.9993 | 3832 | 0.2580 | 71.1043 | |
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| 0.1805 | 6.0 | 4599 | 0.2582 | 69.7097 | |
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| 0.1608 | 6.9993 | 5365 | 0.2508 | 69.9530 | |
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| 0.1437 | 8.0 | 6132 | 0.2586 | 67.6504 | |
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| 0.1309 | 8.9993 | 6898 | 0.2634 | 74.7851 | |
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| 0.1206 | 9.9935 | 7660 | 0.2740 | 69.5152 | |
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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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