update model card README.md

README.md

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+---
+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 [Harveenchadha/vakyansh-wav2vec2-urdu-urm-60](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-urdu-urm-60) on the common_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.6846
+- Wer: 0.5747
+- Cer: 0.3268
+
+## 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: 64
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 4.3054        | 16.67 | 50   | 9.0055          | 0.8306 | 0.4869 |
+| 2.0629        | 33.33 | 100  | 9.5849          | 0.6061 | 0.3414 |
+| 0.8966        | 50.0  | 150  | 4.8686          | 0.6052 | 0.3426 |
+| 0.4197        | 66.67 | 200  | 12.3261         | 0.5817 | 0.3370 |
+| 0.294         | 83.33 | 250  | 11.9653         | 0.5712 | 0.3328 |
+| 0.2329        | 100.0 | 300  | 7.6846          | 0.5747 | 0.3268 |
+
+
+### Framework versions
+
+- Transformers 4.16.0.dev0
+- Pytorch 1.10.1+cu102
+- Datasets 1.17.1.dev0
+- Tokenizers 0.11.0