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--- |
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license: apache-2.0 |
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tags: |
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- audio-classification |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: whisper-tiny-ft-marathi-numbers |
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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-ft-marathi-numbers |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co./openai/whisper-tiny) on the sanchit-gandhi/marathi-numbers-test dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0270 |
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- Accuracy: 1.0 |
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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: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 0 |
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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_ratio: 0.1 |
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- num_epochs: 5.0 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.0002 | 1.0 | 128 | 0.7066 | 0.9990 | |
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| 0.0895 | 2.0 | 256 | 0.0764 | 0.9990 | |
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| 0.0281 | 3.0 | 384 | 0.0270 | 1.0 | |
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| 0.0191 | 4.0 | 512 | 0.0186 | 1.0 | |
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| 0.017 | 5.0 | 640 | 0.0166 | 1.0 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.1.0.dev20230308+cu118 |
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- Datasets 2.10.2.dev0 |
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- Tokenizers 0.13.2 |
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