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--- |
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license: apache-2.0 |
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base_model: TheAIchemist13/whisper-hindi-base |
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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-hindi-base-2 |
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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-hindi-base-2 |
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This model is a fine-tuned version of [TheAIchemist13/whisper-hindi-base](https://huggingface.co/TheAIchemist13/whisper-hindi-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4431 |
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- Wer: 45.1568 |
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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: 1.75e-05 |
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- train_batch_size: 16 |
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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: 250 |
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- training_steps: 2000 |
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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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| 0.2311 | 0.42 | 250 | 0.4786 | 50.4530 | |
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| 0.2449 | 0.84 | 500 | 0.4508 | 49.7561 | |
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| 0.1269 | 1.26 | 750 | 0.4437 | 45.9233 | |
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| 0.1538 | 1.68 | 1000 | 0.4388 | 48.2927 | |
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| 0.0864 | 2.1 | 1250 | 0.4283 | 44.9477 | |
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| 0.0885 | 2.52 | 1500 | 0.4429 | 44.8780 | |
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| 0.0765 | 2.94 | 1750 | 0.4405 | 46.2718 | |
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| 0.0614 | 3.36 | 2000 | 0.4431 | 45.1568 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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