Sanchit Gandhi
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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- librispeech_asr
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model-index:
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- name: ''
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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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#
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This model was trained from scratch on the librispeech_asr dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.2188
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- Wer: 0.9238
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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: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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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: 1000
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- num_epochs: 20.0
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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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| 5.7093 | 6.73 | 1500 | 5.7514 | 1.2104 |
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| 5.642 | 13.45 | 3000 | 5.2188 | 0.9238 |
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.2+cu113
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- Datasets 1.18.3
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- Tokenizers 0.11.0
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