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--- |
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language: |
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- ymr |
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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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metrics: |
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- wer |
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model-index: |
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- name: leenag/Malasar_Dict |
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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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# leenag/Malasar_Dict |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0136 |
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- Wer: 6.4752 |
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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: 32 |
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- eval_batch_size: 16 |
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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: 2000 |
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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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| 0.0424 | 0.64 | 250 | 0.0426 | 19.6509 | |
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| 0.0247 | 1.28 | 500 | 0.0276 | 12.7252 | |
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| 0.0184 | 1.92 | 750 | 0.0254 | 13.8514 | |
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| 0.0077 | 2.56 | 1000 | 0.0152 | 7.2072 | |
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| 0.005 | 3.21 | 1250 | 0.0139 | 6.9257 | |
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| 0.0032 | 3.85 | 1500 | 0.0149 | 6.9257 | |
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| 0.0025 | 4.49 | 1750 | 0.0145 | 6.7005 | |
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| 0.0009 | 5.13 | 2000 | 0.0136 | 6.4752 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.15.0 |
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