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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-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-base-khmer-aug-v6 |
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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: 0.2379 |
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- Wer: 62.5101 |
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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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| 0.5956 | 0.9994 | 837 | 0.2717 | 78.0931 | |
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| 0.2404 | 2.0 | 1675 | 0.2206 | 79.6660 | |
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| 0.184 | 2.9994 | 2512 | 0.2061 | 68.4287 | |
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| 0.1511 | 4.0 | 3350 | 0.2001 | 66.4505 | |
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| 0.1288 | 4.9994 | 4187 | 0.2038 | 66.2883 | |
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| 0.1108 | 6.0 | 5025 | 0.2032 | 64.6506 | |
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| 0.0968 | 6.9994 | 5862 | 0.2098 | 64.0182 | |
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| 0.0842 | 8.0 | 6700 | 0.2180 | 63.5966 | |
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| 0.0739 | 8.9994 | 7537 | 0.2303 | 63.9857 | |
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| 0.065 | 9.9940 | 8370 | 0.2379 | 62.5101 | |
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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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