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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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- automatic-speech-recognition
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- NbAiLab/NPSC
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- generated_from_trainer
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datasets:
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- npsc
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model-index:
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- name: xls-npsc
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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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# xls-npsc
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the NBAILAB/NPSC - 48K_MP3 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.5006
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- Wer: 1.0
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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: 7.5e-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: 4
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- total_train_batch_size: 64
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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: 500
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- num_epochs: 10.0
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.16.0.dev0
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- Pytorch 1.10.1+cu102
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- Datasets 1.18.1.dev0
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- Tokenizers 0.10.3
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wandb/run-20220125_145153-1ghti100/files/output.log
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Saving model checkpoint to ./
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Configuration saved in ./config.json
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Model weights saved in ./pytorch_model.bin
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Saving model checkpoint to ./
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Configuration saved in ./config.json
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Model weights saved in ./pytorch_model.bin
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Configuration saved in ./preprocessor_config.json
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Upload file pytorch_model.bin: 1%|ββ | 6.97M/1.18G [00:02<04:58, 4.21MB/s]
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01/25/2022 16:06:31 - WARNING - huggingface_hub.repository - To https://huggingface.co/NbAiLab/xls-npsc
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