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-xls-r-300m-bas-CV8-v2
+  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-xls-r-300m-bas-CV8-v2
+
+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: 0.6121
+- Wer: 0.5697
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 300
+- num_epochs: 90
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 6.5211        | 16.13 | 500  | 1.2661          | 0.9153 |
+| 0.7026        | 32.25 | 1000 | 0.6245          | 0.6516 |
+| 0.3752        | 48.38 | 1500 | 0.6039          | 0.6148 |
+| 0.2752        | 64.51 | 2000 | 0.6080          | 0.5808 |
+| 0.2155        | 80.63 | 2500 | 0.6121          | 0.5697 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.3
+- Tokenizers 0.10.3