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--- |
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language: |
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- te |
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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 Base Te - 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 Base Te - Bharat Ramanathan |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2455 |
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- Wer: 42.6485 |
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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: 96 |
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- eval_batch_size: 64 |
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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: 5000 |
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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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| 0.6341 | 0.1 | 500 | 0.3894 | 60.7108 | |
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| 0.349 | 0.2 | 1000 | 0.3081 | 52.0935 | |
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| 0.2792 | 0.3 | 1500 | 0.2874 | 49.7079 | |
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| 0.2433 | 0.4 | 2000 | 0.2720 | 47.5657 | |
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| 0.2224 | 1.06 | 2500 | 0.2632 | 45.2288 | |
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| 0.2058 | 1.16 | 3000 | 0.2529 | 44.3038 | |
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| 0.1944 | 1.26 | 3500 | 0.2519 | 44.5959 | |
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| 0.1869 | 1.36 | 4000 | 0.2475 | 43.7196 | |
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| 0.1811 | 2.03 | 4500 | 0.2451 | 43.3301 | |
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| 0.1775 | 2.13 | 5000 | 0.2455 | 42.6485 | |
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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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