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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: 0.2505 |
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- Wer: 63.2723 |
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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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| 0.6835 | 1.0 | 670 | 0.2957 | 79.4714 | |
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| 0.2814 | 2.0 | 1340 | 0.2385 | 73.0988 | |
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| 0.2102 | 3.0 | 2010 | 0.2247 | 68.2828 | |
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| 0.1726 | 4.0 | 2680 | 0.2124 | 67.2288 | |
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| 0.147 | 5.0 | 3350 | 0.2230 | 66.5802 | |
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| 0.1243 | 6.0 | 4020 | 0.2268 | 72.6123 | |
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| 0.1078 | 7.0 | 4690 | 0.2268 | 65.4775 | |
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| 0.0949 | 8.0 | 5360 | 0.2329 | 63.2074 | |
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| 0.0834 | 9.0 | 6030 | 0.2507 | 63.2074 | |
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| 0.0732 | 10.0 | 6700 | 0.2505 | 63.2723 | |
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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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