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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: 5.6286
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- Wer: 1.5293
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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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: 1000
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- num_epochs: 5.0
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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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| 6.1577 | 1.68 | 1500 | 6.0728 | 1.0589 |
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| 5.6103 | 3.36 | 3000 | 5.6286 | 1.5293 |
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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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wandb/run-20220302_132803-2mcgzjjb/files/output.log
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@@ -18086,3 +18086,84 @@ Adding files tracked by Git LFS: ['wandb/run-20220302_132803-2mcgzjjb/run-2mcgzj
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[INFO|trainer.py:2114] 2022-03-02 21:22:49,496 >> Saving model checkpoint to ./███| 4460/4460 [7:54:44<00:00, 3.24s/it][INFO|trainer.py:1492] 2022-03-02 21:22:49,493 >> 2,018 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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[INFO|feature_extraction_utils.py:324] 2022-03-02 21:23:05,903 >> Configuration saved in ./preprocessor_config.jsons/it][INFO|trainer.py:1492] 2022-03-02 21:22:49,493 >> 2,018 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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[INFO|modeling_utils.py:1081] 2022-03-02 21:23:23,219 >> Model weights saved in ./pytorch_model.binssor_config.jsons/it][INFO|trainer.py:1492] 2022-03-02 21:22:49,493 >> 2,018 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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[INFO|trainer.py:2114] 2022-03-02 21:22:49,496 >> Saving model checkpoint to ./███| 4460/4460 [7:54:44<00:00, 3.24s/it][INFO|trainer.py:1492] 2022-03-02 21:22:49,493 >> 2,018 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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[INFO|feature_extraction_utils.py:324] 2022-03-02 21:23:05,903 >> Configuration saved in ./preprocessor_config.jsons/it][INFO|trainer.py:1492] 2022-03-02 21:22:49,493 >> 2,018 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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[INFO|modeling_utils.py:1081] 2022-03-02 21:23:23,219 >> Model weights saved in ./pytorch_model.binssor_config.jsons/it][INFO|trainer.py:1492] 2022-03-02 21:22:49,493 >> 2,018 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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Upload file runs/Mar02_13-27-31_sanchit--v100/events.out.tfevents.1646227683.sanchit--v100.259517.0: 5%| | 32.0k/693k [INFO|trainer.py:1492] 2022-03-02 21:22:49,493 >> 2,018 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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Upload file runs/Mar02_13-27-31_sanchit--v100/events.out.tfevents.1646227683.sanchit--v100.259517.0: 5%| | 32.0k/693k [INFO|trainer.py:1492] 2022-03-02 21:22:49,493 >> 2,018 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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Upload file runs/Mar02_13-27-31_sanchit--v100/events.out.tfevents.1646227683.sanchit--v100.259517.0: 5%| | 32.0k/693k [INFO|trainer.py:1492] 2022-03-02 21:22:49,493 >> 2,018 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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wandb/run-20220302_132803-2mcgzjjb/logs/debug-internal.log
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