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--- |
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language: |
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- mar |
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license: apache-2.0 |
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tags: |
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- hf-asr-leaderboard |
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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_marathi_small_V1 |
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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: Common Voice 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: mr |
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split: test |
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args: 'config: hi, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 45.00676938946554 |
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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_marathi_small_V1 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2754 |
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- Wer: 45.0068 |
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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: 16 |
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- eval_batch_size: 8 |
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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: 10 |
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- training_steps: 1000 |
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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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| 0.4794 | 0.41 | 100 | 0.4754 | 59.9317 | |
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| 0.3121 | 0.81 | 200 | 0.3161 | 52.8786 | |
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| 0.2051 | 1.22 | 300 | 0.2900 | 50.2547 | |
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| 0.1887 | 1.63 | 400 | 0.2779 | 48.1336 | |
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| 0.16 | 2.03 | 500 | 0.2679 | 46.2639 | |
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| 0.1131 | 2.44 | 600 | 0.2706 | 45.8449 | |
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| 0.1128 | 2.85 | 700 | 0.2658 | 45.1551 | |
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| 0.0678 | 3.25 | 800 | 0.2763 | 45.2195 | |
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| 0.075 | 3.66 | 900 | 0.2769 | 45.7611 | |
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| 0.0609 | 4.07 | 1000 | 0.2754 | 45.0068 | |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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