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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: xls-r-300m-es
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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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# xls-r-300m-es
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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: 0.1900
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- Wer: 0.1438
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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: 4
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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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| 3.6747 | 0.3 | 400 | 0.6535 | 0.5926 |
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| 0.4439 | 0.6 | 800 | 0.3753 | 0.3193 |
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| 0.3291 | 0.9 | 1200 | 0.3267 | 0.2721 |
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| 0.2644 | 1.2 | 1600 | 0.2816 | 0.2311 |
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| 0.24 | 1.5 | 2000 | 0.2647 | 0.2179 |
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| 0.2265 | 1.79 | 2400 | 0.2406 | 0.2048 |
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| 0.1994 | 2.09 | 2800 | 0.2357 | 0.1869 |
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| 0.1613 | 2.39 | 3200 | 0.2242 | 0.1821 |
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| 0.1546 | 2.69 | 3600 | 0.2123 | 0.1707 |
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| 0.1441 | 2.99 | 4000 | 0.2067 | 0.1619 |
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| 0.1138 | 3.29 | 4400 | 0.2044 | 0.1519 |
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| 0.1072 | 3.59 | 4800 | 0.1917 | 0.1457 |
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| 0.0992 | 3.89 | 5200 | 0.1900 | 0.1438 |
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### Framework versions
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- Transformers 4.16.0.dev0
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- Pytorch 1.10.1+cu102
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- Datasets 1.17.1.dev0
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- Tokenizers 0.11.0
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