Create README.md

README.md

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+---
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_3_0
+- generated_from_trainer
+model-index:
+- name: xls-r-300m-sv-phoneme
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# xls-r-300m-sv-phoneme
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the mozilla-foundation/common_voice_3_0 - SV-SE dataset.
+It achieves the following results on the evaluation set:
+
+- Loss: 0.4879
+- Wer: 0.0997
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.000075
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 150
+- mixed_precision_training: Native AMP
+
+### Training results
+
+See Training Metrics Tab.
+
+
+### Framework versions
+
+- Transformers 4.15.0.dev0
+- Pytorch 1.9.0+cu111
+- Datasets 1.16.2.dev0
+- Tokenizers 0.10.3