update model card README.md

README.md

@@ -1,3 +1,69 @@
 ---
-license: mit
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: finetuned_parsBERT_NER_fa
+  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. -->
+
+# finetuned_parsBERT_NER_fa
+
+This model is a fine-tuned version of [HooshvareLab/bert-fa-zwnj-base](https://huggingface.co/HooshvareLab/bert-fa-zwnj-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0293
+- Precision: 0.9435
+- Recall: 0.9568
+- F1: 0.9501
+- Accuracy: 0.9941
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1202        | 1.0   | 1821 | 0.0528          | 0.8209    | 0.8587 | 0.8394 | 0.9831   |
+| 0.0383        | 2.0   | 3642 | 0.0348          | 0.9060    | 0.9189 | 0.9124 | 0.9899   |
+| 0.0168        | 3.0   | 5463 | 0.0278          | 0.9249    | 0.9420 | 0.9334 | 0.9923   |
+| 0.0077        | 4.0   | 7284 | 0.0274          | 0.9354    | 0.9517 | 0.9435 | 0.9936   |
+| 0.0037        | 5.0   | 9105 | 0.0293          | 0.9435    | 0.9568 | 0.9501 | 0.9941   |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1