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--- |
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language: |
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- km |
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license: apache-2.0 |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- openslr |
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- google/fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Khmer - Seanghay Yath |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Google FLEURS |
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type: google/fleurs |
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config: km_kh |
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split: all |
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metrics: |
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- name: Wer |
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type: wer |
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value: 1.0704381586245146 |
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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 Small Khmer - Seanghay Yath |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Google FLEURS & OpenSLR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4484 |
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- Wer: 1.0704 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6.25e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 800 |
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- training_steps: 4000 |
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- mixed_precision_training: Native AMP |
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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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| 0.2052 | 3.33 | 1000 | 0.3582 | 1.0233 | |
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| 0.0465 | 6.67 | 2000 | 0.3129 | 1.0105 | |
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| 0.0089 | 10.0 | 3000 | 0.3977 | 1.0214 | |
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| 0.0016 | 13.33 | 4000 | 0.4484 | 1.0704 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 1.12.1 |
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- Datasets 2.11.1.dev0 |
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- Tokenizers 0.13.3 |
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