update model card README.md

README.md

@@ -1,9 +1,36 @@
 ---
 tags:
 - generated_from_trainer
+datasets:
+- plo_dunfiltered_config
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: scibert_scivocab_uncased-finetuned-ner
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: plo_dunfiltered_config
+      type: plo_dunfiltered_config
+      args: PLODunfiltered
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.964925429790286
+    - name: Recall
+      type: recall
+      value: 0.9612323892385586
+    - name: F1
+      type: f1
+      value: 0.9630753691636831
+    - name: Accuracy
+      type: accuracy
+      value: 0.9593916827485913
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -11,7 +38,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # scibert_scivocab_uncased-finetuned-ner
 
-This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on an unknown dataset.
+This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the plo_dunfiltered_config dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1390
+- Precision: 0.9649
+- Recall: 0.9612
+- F1: 0.9631
+- Accuracy: 0.9594
 
 ## Model description
 
@@ -38,6 +71,19 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 11
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1176        | 1.4   | 5000  | 0.1243          | 0.9570    | 0.9511 | 0.9540 | 0.9502   |
+| 0.0973        | 2.81  | 10000 | 0.1129          | 0.9609    | 0.9572 | 0.9590 | 0.9553   |
+| 0.0721        | 4.21  | 15000 | 0.1198          | 0.9645    | 0.9585 | 0.9615 | 0.9578   |
+| 0.0634        | 5.62  | 20000 | 0.1259          | 0.9649    | 0.9589 | 0.9619 | 0.9582   |
+| 0.0572        | 7.02  | 25000 | 0.1321          | 0.9653    | 0.9609 | 0.9631 | 0.9594   |
+| 0.0472        | 8.43  | 30000 | 0.1390          | 0.9649    | 0.9612 | 0.9631 | 0.9594   |
+| 0.0434        | 9.83  | 35000 | 0.1442          | 0.9656    | 0.9613 | 0.9634 | 0.9598   |
+
+
 ### Framework versions
 
 - Transformers 4.18.0