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-large-xls-r-300m-Urdu
+  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-large-xls-r-300m-Urdu
+
+This model is a fine-tuned version of [kingabzpro/wav2vec2-urdu](https://huggingface.co/kingabzpro/wav2vec2-urdu) on the common_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.9192
+- Wer: 0.4741
+- Cer: 0.2504
+
+## 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: 7e-05
+- train_batch_size: 64
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 2.8836        | 16.62 | 50   | 4.7827          | 0.5011 | 0.2625 |
+| 0.6992        | 33.31 | 100  | 3.5358          | 0.4882 | 0.2537 |
+| 0.6321        | 49.92 | 150  | 4.9054          | 0.4774 | 0.2519 |
+| 0.4669        | 66.62 | 200  | 5.9508          | 0.4719 | 0.2513 |
+| 0.3119        | 83.31 | 250  | 5.5791          | 0.4745 | 0.2508 |
+| 0.2788        | 99.92 | 300  | 4.9192          | 0.4741 | 0.2504 |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu102
+- Datasets 1.18.2.dev0
+- Tokenizers 0.11.0