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--- |
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language: |
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- ta |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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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 tiny Ta example - Bharat Ramanathan |
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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 Ta example - Bharat Ramanathan |
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This model is a fine-tuned version of [parambharat/whisper-tiny-ta](https://huggingface.co/parambharat/whisper-tiny-ta) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4016 |
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- Wer: 36.5217 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 25 |
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- training_steps: 100 |
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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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| 0.304 | 12.01 | 25 | 0.3614 | 31.7391 | |
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| 0.1826 | 24.02 | 50 | 0.3851 | 35.2174 | |
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| 0.1346 | 37.01 | 75 | 0.3999 | 37.8261 | |
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| 0.1096 | 49.02 | 100 | 0.4016 | 36.5217 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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