update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: address_parsing_test_1
+  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. -->
+
+# address_parsing_test_1
+
+This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0207
+- Precision: 0.9953
+- Recall: 0.9957
+- F1: 0.9955
+- Accuracy: 0.9963
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0669        | 1.0   | 1266 | 0.0168          | 0.9890    | 0.9913 | 0.9902 | 0.9937   |
+| 0.02          | 2.0   | 2532 | 0.0132          | 0.9953    | 0.9961 | 0.9957 | 0.9967   |
+| 0.0122        | 3.0   | 3798 | 0.0177          | 0.9949    | 0.9955 | 0.9952 | 0.9962   |
+| 0.0068        | 4.0   | 5064 | 0.0181          | 0.9951    | 0.9957 | 0.9954 | 0.9963   |
+| 0.0048        | 5.0   | 6330 | 0.0207          | 0.9953    | 0.9957 | 0.9955 | 0.9963   |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1
+- Tokenizers 0.13.2