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--- |
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base_model: openai/whisper-medium |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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language: |
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- ha |
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library_name: peft |
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license: apache-2.0 |
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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 ha Test- Dinaka Ezeani |
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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 ha Test- Dinaka Ezeani |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4394 |
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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: 0.001 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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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: 2 |
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- training_steps: 10 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 3.5742 | 0.0323 | 1 | 2.8898 | |
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| 3.6442 | 0.0645 | 2 | 2.5929 | |
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| 3.3101 | 0.0968 | 3 | 2.1882 | |
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| 2.797 | 0.1290 | 4 | 1.9838 | |
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| 2.6471 | 0.1613 | 5 | 1.7828 | |
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| 2.3832 | 0.1935 | 6 | 1.6560 | |
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| 2.1674 | 0.2258 | 7 | 1.5718 | |
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| 2.0717 | 0.2581 | 8 | 1.5056 | |
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| 2.0157 | 0.2903 | 9 | 1.4620 | |
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| 1.9508 | 0.3226 | 10 | 1.4394 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
