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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-v3 |
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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-v3 |
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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: 0.3416 |
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- Wer: 100.0 |
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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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| 1.1553 | 1.0 | 859 | 0.4808 | 100.0 | |
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| 0.4889 | 2.0 | 1718 | 0.3681 | 100.0 | |
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| 0.3862 | 3.0 | 2577 | 0.3386 | 100.0 | |
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| 0.3256 | 4.0 | 3436 | 0.3141 | 100.0 | |
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| 0.2824 | 5.0 | 4295 | 0.3053 | 100.0 | |
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| 0.2483 | 6.0 | 5154 | 0.3025 | 100.0 | |
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| 0.2191 | 7.0 | 6013 | 0.3178 | 100.0 | |
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| 0.1943 | 8.0 | 6872 | 0.3253 | 100.0 | |
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| 0.1747 | 9.0 | 7731 | 0.3295 | 100.0 | |
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| 0.1567 | 10.0 | 8590 | 0.3416 | 100.0 | |
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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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