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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-v4 |
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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-v4 |
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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: 0.4707 |
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- Wer: 87.9034 |
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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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| 1.1549 | 1.0 | 793 | 1.0460 | 101.2810 | |
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| 0.8009 | 2.0 | 1586 | 0.7930 | 108.9509 | |
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| 0.5929 | 3.0 | 2379 | 0.5986 | 95.7516 | |
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| 0.4686 | 4.0 | 3172 | 0.5323 | 99.9351 | |
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| 0.411 | 5.0 | 3965 | 0.4952 | 88.9087 | |
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| 0.3694 | 6.0 | 4758 | 0.4675 | 101.5405 | |
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| 0.332 | 7.0 | 5551 | 0.4639 | 90.0600 | |
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| 0.3043 | 8.0 | 6344 | 0.4541 | 78.9363 | |
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| 0.2819 | 9.0 | 7137 | 0.4532 | 82.9901 | |
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| 0.2615 | 10.0 | 7930 | 0.4707 | 87.9034 | |
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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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