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--- |
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language: |
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- kn |
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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 Kn - Bharat Ramanathan |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: google/fleurs |
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type: google/fleurs |
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config: kn_in |
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split: test |
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metrics: |
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- type: wer |
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value: 43.7 |
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name: WER |
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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 Kn - 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: 0.3057 |
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- Wer: 46.3937 |
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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: 150 |
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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: 3000 |
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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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| 1.4091 | 0.1 | 300 | 1.4915 | 101.5026 | |
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| 1.1294 | 0.2 | 600 | 1.2845 | 94.7408 | |
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| 0.5426 | 0.3 | 900 | 0.4621 | 64.2374 | |
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| 0.4128 | 1.02 | 1200 | 0.3695 | 54.6582 | |
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| 0.3629 | 1.12 | 1500 | 0.3414 | 52.9677 | |
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| 0.3321 | 1.22 | 1800 | 0.3249 | 50.3005 | |
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| 0.3066 | 1.32 | 2100 | 0.3181 | 48.9106 | |
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| 0.2958 | 2.03 | 2400 | 0.3136 | 47.7836 | |
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| 0.2883 | 2.13 | 2700 | 0.3055 | 46.6191 | |
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| 0.2857 | 2.23 | 3000 | 0.3057 | 46.3937 | |
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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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