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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- common_voice
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model-index:
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- name: wav2vec2-large-xlsr-53-punjabi
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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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# wav2vec2-large-xlsr-53-punjabi
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This model is a fine-tuned version of [manandey/wav2vec2-large-xlsr-punjabi](https://huggingface.co/manandey/wav2vec2-large-xlsr-punjabi) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6752
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- Wer: 0.3942
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- Cer: 0.1299
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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: 0.0003
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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: 200
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- num_epochs: 30
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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 | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 0.8899 | 4.16 | 100 | 0.5338 | 0.4233 | 0.1394 |
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| 0.3652 | 8.33 | 200 | 0.5759 | 0.4192 | 0.1349 |
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| 0.248 | 12.49 | 300 | 0.6309 | 0.4102 | 0.1327 |
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| 0.1898 | 16.65 | 400 | 0.6441 | 0.4007 | 0.1351 |
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| 0.1486 | 20.82 | 500 | 0.6790 | 0.4044 | 0.1393 |
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| 0.1245 | 24.98 | 600 | 0.6869 | 0.3987 | 0.1309 |
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| 0.1085 | 29.16 | 700 | 0.6752 | 0.3942 | 0.1299 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.0+cu111
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- Datasets 1.17.0
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- Tokenizers 0.10.3
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