update model card README.md

README.md

@@ -2,9 +2,36 @@
 license: mit
 tags:
 - generated_from_trainer
+datasets:
+- plo_dfiltered_config
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: roberta-base-finetuned-ner
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: plo_dfiltered_config
+      type: plo_dfiltered_config
+      args: PLODfiltered
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9644756447594547
+    - name: Recall
+      type: recall
+      value: 0.9583209148378798
+    - name: F1
+      type: f1
+      value: 0.9613884293804785
+    - name: Accuracy
+      type: accuracy
+      value: 0.9575894768204436
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,7 +39,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-base-finetuned-ner
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the plo_dfiltered_config dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1148
+- Precision: 0.9645
+- Recall: 0.9583
+- F1: 0.9614
+- Accuracy: 0.9576
 
 ## Model description
 
@@ -39,6 +72,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 6
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1179        | 1.99  | 7000  | 0.1130          | 0.9602    | 0.9517 | 0.9559 | 0.9522   |
+| 0.0878        | 3.98  | 14000 | 0.1106          | 0.9647    | 0.9564 | 0.9606 | 0.9567   |
+| 0.0724        | 5.96  | 21000 | 0.1149          | 0.9646    | 0.9582 | 0.9614 | 0.9576   |
+
+
 ### Framework versions
 
 - Transformers 4.18.0