Model save

README.md

@@ -3,9 +3,38 @@ license: mit
 base_model: romainlhardy/roberta-large-finetuned-ner
 tags:
 - generated_from_trainer
+datasets:
+- plod-cw
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: roberta-large-finetuned-ner-finetuned-ner
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: plod-cw
+      type: plod-cw
+      config: PLOD-CW
+      split: validation
+      args: PLOD-CW
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9597188892697978
+    - name: Recall
+      type: recall
+      value: 0.9502715546503734
+    - name: F1
+      type: f1
+      value: 0.9549718574108819
+    - name: Accuracy
+      type: accuracy
+      value: 0.949480642115203
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +42,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-large-finetuned-ner-finetuned-ner
 
-This model is a fine-tuned version of [romainlhardy/roberta-large-finetuned-ner](https://huggingface.co/romainlhardy/roberta-large-finetuned-ner) on an unknown dataset.
+This model is a fine-tuned version of [romainlhardy/roberta-large-finetuned-ner](https://huggingface.co/romainlhardy/roberta-large-finetuned-ner) on the plod-cw dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2327
+- Precision: 0.9597
+- Recall: 0.9503
+- F1: 0.9550
+- Accuracy: 0.9495
 
 ## Model description
 
@@ -40,6 +75,10 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 6
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.38.1