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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-demo-colab
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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-demo-colab
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.7860
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- Wer: 1.1067
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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: 500
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- num_epochs: 1000
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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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| 8.2273 | 44.42 | 400 | 3.3544 | 1.0 |
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| 0.9228 | 88.84 | 800 | 4.7054 | 1.1601 |
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| 0.1423 | 133.32 | 1200 | 5.9489 | 1.1578 |
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| 0.0751 | 177.74 | 1600 | 5.5939 | 1.1717 |
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| 0.0554 | 222.21 | 2000 | 6.1230 | 1.1717 |
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| 0.0356 | 266.63 | 2400 | 6.2845 | 1.1613 |
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| 0.0288 | 311.11 | 2800 | 6.6109 | 1.2100 |
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| 0.0223 | 355.53 | 3200 | 6.5605 | 1.1299 |
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| 0.0197 | 399.95 | 3600 | 7.1242 | 1.1682 |
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| 0.0171 | 444.42 | 4000 | 7.2452 | 1.1578 |
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| 0.0149 | 488.84 | 4400 | 7.4048 | 1.0684 |
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| 0.0118 | 533.32 | 4800 | 6.6227 | 1.1172 |
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| 0.011 | 577.74 | 5200 | 6.7909 | 1.1566 |
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| 0.0095 | 622.21 | 5600 | 6.8088 | 1.1102 |
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| 0.0077 | 666.63 | 6000 | 7.4451 | 1.1311 |
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| 0.0062 | 711.11 | 6400 | 6.8486 | 1.0777 |
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| 0.0051 | 755.53 | 6800 | 6.8812 | 1.1241 |
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| 0.0051 | 799.95 | 7200 | 6.9987 | 1.1450 |
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| 0.0041 | 844.42 | 7600 | 7.3048 | 1.1323 |
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| 0.0044 | 888.84 | 8000 | 6.6644 | 1.1125 |
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| 0.0031 | 933.32 | 8400 | 6.6298 | 1.1148 |
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| 0.0027 | 977.74 | 8800 | 6.7860 | 1.1067 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.10.0+cu111
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- Datasets 1.14.0
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- Tokenizers 0.10.3
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