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update model card README.md
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README.md
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---
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language:
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- mr
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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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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 Tiny Marathi
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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: mr
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metrics:
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- name: Wer
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type: wer
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value: 41.645121785276906
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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 Marathi
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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: 0.4618
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- Wer: 41.6451
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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: 128
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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: 50
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- training_steps: 1600
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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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| 0.6182 | 0.95 | 200 | 0.6224 | 53.6706 |
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| 0.4364 | 1.9 | 400 | 0.5200 | 47.2071 |
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| 0.3668 | 2.84 | 600 | 0.4830 | 44.4890 |
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| 0.294 | 3.79 | 800 | 0.4671 | 42.8562 |
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| 0.2729 | 4.74 | 1000 | 0.4642 | 42.1214 |
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| 0.2401 | 5.69 | 1200 | 0.4614 | 41.6996 |
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| 0.2212 | 6.64 | 1400 | 0.4618 | 41.7778 |
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| 0.2093 | 7.58 | 1600 | 0.4618 | 41.6451 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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