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--- |
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license: afl-3.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper_Small_Odia_CV_11.0_5k_steps |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: mozilla-foundation/common_voice_11_0 or |
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type: mozilla-foundation/common_voice_11_0 |
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config: or |
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split: test |
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args: or |
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metrics: |
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- name: Wer |
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type: wer |
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value: 23.497884344146687 |
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language: |
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- or |
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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_Small_Odia_CV_11.0_5k_steps |
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This model is a fine-tuned version of [Ranjit/Whisper_Small_Odia_10k_steps](https://huggingface.co/Ranjit/Whisper_Small_Odia_10k_steps) on the [mozilla-foundation/common_voice_11_0 or](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4827 |
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- Wer: 23.4979 |
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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: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 200 |
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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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| 0.0018 | 50.0 | 1000 | 0.3315 | 24.0903 | |
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| 0.0 | 100.0 | 2000 | 0.4098 | 23.7236 | |
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| 0.0 | 150.0 | 3000 | 0.4827 | 23.4979 | |
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| 0.0 | 200.0 | 4000 | 0.4914 | 23.8928 | |
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| 0.0 | 250.0 | 5000 | 0.4953 | 23.7800 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |