update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- common_voice
+model-index:
+- name: wav2vec2_common_voice_accents
+  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. -->
+
+# wav2vec2_common_voice_accents
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.9095
+- Wer: 0.4269
+
+## 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: 0.0003
+- train_batch_size: 16
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 4.0135        | 5.33  | 400  | 1.3259          | 0.8067 |
+| 0.5608        | 10.67 | 800  | 0.7832          | 0.5024 |
+| 0.1441        | 16.0  | 1200 | 0.9309          | 0.4698 |
+| 0.0724        | 21.33 | 1600 | 0.9750          | 0.4461 |
+| 0.0444        | 26.67 | 2000 | 0.9095          | 0.4269 |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.2+cu102
+- Datasets 1.18.4
+- Tokenizers 0.11.6