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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: ''
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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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#
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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 common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3559
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- Wer: 0.3829
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 2000
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- num_epochs: 50.0
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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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| 3.4129 | 5.49 | 500 | 3.3224 | 1.0 |
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| 2.9323 | 10.98 | 1000 | 2.9128 | 1.0000 |
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| 1.6839 | 16.48 | 1500 | 0.7740 | 0.6854 |
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| 1.485 | 21.97 | 2000 | 0.5830 | 0.5976 |
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| 1.362 | 27.47 | 2500 | 0.4866 | 0.4905 |
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| 1.2752 | 32.96 | 3000 | 0.4240 | 0.4967 |
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| 1.1957 | 38.46 | 3500 | 0.3899 | 0.4258 |
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| 1.1646 | 43.95 | 4000 | 0.3597 | 0.4014 |
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| 1.1265 | 49.45 | 4500 | 0.3559 | 0.3829 |
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.2+cu102
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- Datasets 1.18.3
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- Tokenizers 0.11.0
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