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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 |
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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 |
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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: 0.6705 |
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- Wer: 46.2523 |
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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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| 2.0089 | 1.0 | 810 | 0.8377 | 64.9564 | |
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| 0.8348 | 2.0 | 1620 | 0.6317 | 51.0793 | |
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| 0.6384 | 3.0 | 2430 | 0.5752 | 51.3541 | |
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| 0.5227 | 4.0 | 3240 | 0.5643 | 48.8592 | |
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| 0.4323 | 5.0 | 4050 | 0.5749 | 48.2771 | |
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| 0.3649 | 6.0 | 4860 | 0.5818 | 46.6970 | |
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| 0.3092 | 7.0 | 5670 | 0.6012 | 46.0317 | |
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| 0.2611 | 8.0 | 6480 | 0.6331 | 46.0643 | |
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| 0.2239 | 9.0 | 7290 | 0.6683 | 46.4222 | |
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| 0.1963 | 10.0 | 8100 | 0.6705 | 46.2523 | |
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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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