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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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- fleurs
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metrics:
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- wer
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model-index:
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- name: xlsr-53-ur
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: fleurs
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type: fleurs
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config: ur_pk
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split: test
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args: ur_pk
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metrics:
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- name: Wer
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type: wer
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value: 0.3450557529714496
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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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# xlsr-53-ur
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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 fleurs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6860
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- Wer: 0.3451
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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: 6
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- eval_batch_size: 6
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- total_train_batch_size: 12
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- total_eval_batch_size: 12
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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: 15.0
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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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| 3.0396 | 1.59 | 300 | 3.0179 | 1.0 |
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| 0.4976 | 3.17 | 600 | 0.7037 | 0.5447 |
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| 0.3062 | 4.76 | 900 | 0.5557 | 0.4036 |
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| 0.2287 | 6.35 | 1200 | 0.5620 | 0.3935 |
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| 0.2504 | 7.94 | 1500 | 0.5907 | 0.3677 |
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| 0.0633 | 9.52 | 1800 | 0.6239 | 0.3773 |
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| 0.0456 | 11.11 | 2100 | 0.6748 | 0.3604 |
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| 0.0774 | 12.7 | 2400 | 0.6747 | 0.3552 |
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| 0.058 | 14.29 | 2700 | 0.6860 | 0.3451 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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