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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-xls-r-300m-mr
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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-xls-r-300m-mr
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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: 0.5479
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- Wer: 0.5740
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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: 0.0001
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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: 1000
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- num_epochs: 200
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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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| 3.7378 | 18.18 | 400 | 3.5047 | 1.0 |
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| 3.1707 | 36.36 | 800 | 2.6166 | 0.9912 |
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| 1.4942 | 54.55 | 1200 | 0.5778 | 0.6927 |
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| 1.2058 | 72.73 | 1600 | 0.5168 | 0.6362 |
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| 1.0558 | 90.91 | 2000 | 0.5105 | 0.6069 |
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| 0.9488 | 109.09 | 2400 | 0.5151 | 0.6089 |
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| 0.8588 | 127.27 | 2800 | 0.5157 | 0.5989 |
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| 0.7991 | 145.45 | 3200 | 0.5179 | 0.5740 |
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| 0.7545 | 163.64 | 3600 | 0.5348 | 0.5740 |
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| 0.7144 | 181.82 | 4000 | 0.5518 | 0.5724 |
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| 0.7041 | 200.0 | 4400 | 0.5479 | 0.5740 |
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### Framework versions
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- Transformers 4.16.0
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.1
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- Tokenizers 0.11.0
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