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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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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-xlsr-53-espeak-cv-ft-intent-classification-ori
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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-xlsr-53-espeak-cv-ft-intent-classification-ori
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This model is a fine-tuned version of [facebook/wav2vec2-xlsr-53-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-xlsr-53-espeak-cv-ft) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9124
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- Accuracy: 0.625
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_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_ratio: 0.1
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- num_epochs: 45
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.1894 | 1.0 | 14 | 2.1812 | 0.3333 |
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| 2.1795 | 2.0 | 28 | 2.1553 | 0.3333 |
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| 2.144 | 3.0 | 42 | 2.1066 | 0.3333 |
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| 2.1175 | 4.0 | 56 | 2.0283 | 0.3542 |
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| 2.0542 | 5.0 | 70 | 1.9253 | 0.3958 |
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| 2.0007 | 6.0 | 84 | 1.8468 | 0.4167 |
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| 1.8891 | 7.0 | 98 | 1.7655 | 0.4583 |
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| 1.8484 | 8.0 | 112 | 1.6695 | 0.4792 |
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| 1.8256 | 9.0 | 126 | 1.5920 | 0.5 |
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| 1.6832 | 10.0 | 140 | 1.5331 | 0.5 |
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| 1.6149 | 11.0 | 154 | 1.4763 | 0.5 |
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| 1.5853 | 12.0 | 168 | 1.4453 | 0.5 |
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| 1.4357 | 13.0 | 182 | 1.3588 | 0.5 |
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| 1.4789 | 14.0 | 196 | 1.3238 | 0.4792 |
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| 1.3886 | 15.0 | 210 | 1.2822 | 0.4792 |
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| 1.313 | 16.0 | 224 | 1.2609 | 0.5 |
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| 1.3559 | 17.0 | 238 | 1.2191 | 0.5208 |
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| 1.1937 | 18.0 | 252 | 1.1936 | 0.5 |
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| 1.1847 | 19.0 | 266 | 1.1547 | 0.5417 |
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| 1.197 | 20.0 | 280 | 1.1390 | 0.5417 |
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| 1.1057 | 21.0 | 294 | 1.1310 | 0.5208 |
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| 1.0291 | 22.0 | 308 | 1.1086 | 0.5417 |
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| 1.0768 | 23.0 | 322 | 1.1075 | 0.5417 |
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| 1.0249 | 24.0 | 336 | 1.0654 | 0.5625 |
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| 1.0433 | 25.0 | 350 | 1.0390 | 0.5625 |
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| 0.9974 | 26.0 | 364 | 1.0086 | 0.6458 |
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| 0.9578 | 27.0 | 378 | 0.9939 | 0.625 |
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| 0.916 | 28.0 | 392 | 0.9938 | 0.625 |
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| 0.9187 | 29.0 | 406 | 0.9843 | 0.625 |
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| 0.8759 | 30.0 | 420 | 0.9755 | 0.625 |
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| 0.9199 | 31.0 | 434 | 0.9822 | 0.6042 |
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| 0.8791 | 32.0 | 448 | 0.9522 | 0.6458 |
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| 0.8436 | 33.0 | 462 | 0.9414 | 0.6458 |
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| 0.8692 | 34.0 | 476 | 0.9510 | 0.625 |
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| 0.8201 | 35.0 | 490 | 0.9208 | 0.6667 |
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| 0.8284 | 36.0 | 504 | 0.9398 | 0.6458 |
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| 0.8761 | 37.0 | 518 | 0.9438 | 0.6458 |
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| 0.7948 | 38.0 | 532 | 0.9253 | 0.6667 |
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| 0.8339 | 39.0 | 546 | 0.9250 | 0.6458 |
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| 0.8002 | 40.0 | 560 | 0.9145 | 0.6458 |
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| 0.7791 | 41.0 | 574 | 0.9062 | 0.6667 |
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| 0.7944 | 42.0 | 588 | 0.9077 | 0.6667 |
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| 0.7777 | 43.0 | 602 | 0.9069 | 0.6458 |
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| 0.7943 | 44.0 | 616 | 0.9118 | 0.625 |
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| 0.7573 | 45.0 | 630 | 0.9124 | 0.625 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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