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--- |
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library_name: transformers |
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language: |
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- ne |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Small Ne - Jenny Poudel |
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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 Small Ne - Jenny Poudel |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3732 |
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- Cer: 10.4532 |
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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: 1e-05 |
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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: 500 |
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- training_steps: 1000 |
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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 | Cer | |
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|:-------------:|:-------:|:----:|:---------------:|:-------:| |
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| 0.5845 | 1.7857 | 100 | 0.5426 | 23.4003 | |
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| 0.306 | 3.5714 | 200 | 0.3589 | 15.5604 | |
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| 0.1432 | 5.3571 | 300 | 0.3052 | 12.7828 | |
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| 0.0634 | 7.1429 | 400 | 0.3039 | 12.4767 | |
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| 0.0331 | 8.9286 | 500 | 0.3155 | 11.6404 | |
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| 0.0134 | 10.7143 | 600 | 0.3395 | 10.8938 | |
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| 0.0047 | 12.5 | 700 | 0.3492 | 10.1023 | |
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| 0.0018 | 14.2857 | 800 | 0.3679 | 10.4682 | |
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| 0.0008 | 16.0714 | 900 | 0.3702 | 10.4980 | |
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| 0.0006 | 17.8571 | 1000 | 0.3732 | 10.4532 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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