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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 |
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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 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4574 |
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- Wer: 1.4939 |
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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: 6.25e-06 |
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- train_batch_size: 32 |
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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: 64 |
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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: 2 |
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- training_steps: 8 |
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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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| No log | 0.0 | 1 | 3.0351 | 1.4989 | |
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| 3.6663 | 0.01 | 2 | 2.8513 | 1.5283 | |
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| 3.6663 | 0.01 | 3 | 2.6387 | 1.4964 | |
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| 3.6138 | 0.01 | 4 | 2.5656 | 1.5394 | |
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| 3.6138 | 0.01 | 5 | 2.5272 | 1.5169 | |
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| 3.1887 | 0.02 | 6 | 2.4940 | 1.5016 | |
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| 3.1887 | 0.02 | 7 | 2.4701 | 1.4778 | |
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| 3.052 | 0.02 | 8 | 2.4574 | 1.4939 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.6.dev0 |
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- Tokenizers 0.14.1 |
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