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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: 0.2816 |
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- Wer: 67.1639 |
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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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| 1.0104 | 1.0 | 670 | 0.4883 | 90.8059 | |
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| 0.5473 | 2.0 | 1340 | 0.3166 | 92.7680 | |
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| 0.4257 | 3.0 | 2010 | 0.2780 | 78.1904 | |
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| 0.364 | 4.0 | 2680 | 0.2614 | 78.2552 | |
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| 0.3197 | 5.0 | 3350 | 0.2493 | 71.9150 | |
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| 0.2863 | 6.0 | 4020 | 0.2539 | 73.3420 | |
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| 0.2574 | 7.0 | 4690 | 0.2557 | 69.5962 | |
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| 0.2358 | 8.0 | 5360 | 0.2655 | 69.6935 | |
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| 0.2154 | 9.0 | 6030 | 0.2662 | 68.7693 | |
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| 0.1956 | 10.0 | 6700 | 0.2816 | 67.1639 | |
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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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