update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: ner_bert_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. -->
+
+# ner_bert_urdu
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0104
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.0035        | 1.0   | 1314  | 0.0083          |
+| 0.0032        | 2.0   | 2628  | 0.0084          |
+| 0.0031        | 3.0   | 3942  | 0.0063          |
+| 0.0036        | 4.0   | 5256  | 0.0070          |
+| 0.0034        | 5.0   | 6570  | 0.0077          |
+| 0.0033        | 6.0   | 7884  | 0.0086          |
+| 0.0029        | 7.0   | 9198  | 0.0085          |
+| 0.0028        | 8.0   | 10512 | 0.0101          |
+| 0.0027        | 9.0   | 11826 | 0.0098          |
+| 0.0024        | 10.0  | 13140 | 0.0104          |
+
+
+### Framework versions
+
+- Transformers 4.30.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3