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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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model-index:
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- name: xtreme_s_xlsr_300m_fleurs_asr_en_us_nomask
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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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# xtreme_s_xlsr_300m_fleurs_asr_en_us_nomask
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5961
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- Wer: 0.3460
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- Cer: 0.1469
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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: 8
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 64
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- total_eval_batch_size: 8
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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: 30.0
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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 | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 2.8769 | 5.0 | 200 | 2.8871 | 1.0 | 0.9878 |
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| 0.2458 | 10.0 | 400 | 0.5570 | 0.4899 | 0.1951 |
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| 0.0762 | 15.0 | 600 | 0.5213 | 0.3727 | 0.1562 |
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| 0.0334 | 20.0 | 800 | 0.5742 | 0.3666 | 0.1543 |
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| 0.0244 | 25.0 | 1000 | 0.5907 | 0.3546 | 0.1499 |
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| 0.0143 | 30.0 | 1200 | 0.5961 | 0.3460 | 0.1469 |
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### Framework versions
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- Transformers 4.18.0.dev0
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- Pytorch 1.10.1+cu111
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- Datasets 1.18.4.dev0
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- Tokenizers 0.11.6
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