Update metrics using correct evaluation script

README.md

@@ -51,13 +51,13 @@ model-index:
       split: test
     metrics:
     - type: f1
-      value: 0.0
+      value: 0.8311343653918766
       name: F1
     - type: precision
-      value: 0.0
+      value: 0.8334090564894745
       name: Precision
     - type: recall
-      value: 0.0
+      value: 0.8288720574945131
       name: Recall
 ---
 
@@ -89,10 +89,10 @@ This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained
 ## Evaluation
 
 ### Metrics
-| Label   | Precision | Recall | F1  |
-|:--------|:----------|:-------|:----|
-| **all** | 0.0       | 0.0    | 0.0 |
-| ORG     | 0.0       | 0.0    | 0.0 |
+| Label   | Precision | Recall | F1     |
+|:--------|:----------|:-------|:-------|
+| **all** | 0.8334    | 0.8289 | 0.8311 |
+| ORG     | 0.8334    | 0.8289 | 0.8311 |
 
 ## Uses
 
@@ -169,17 +169,17 @@ trainer.save_model("tomaarsen/span-marker-bert-base-orgs-finetuned")
 - num_epochs: 3
 
 ### Training Results
-| Epoch  | Step  | Validation Loss | Validation Precision | Validation Recall | Validation F1 | Validation Accuracy |
-|:------:|:-----:|:---------------:|:--------------------:|:-----------------:|:-------------:|:-------------------:|
-| 0.3273 | 3000  | 0.0052          | 0.0                  | 0.0               | 0.0           | 0.9413              |
-| 0.6546 | 6000  | 0.0047          | 0.0                  | 0.0               | 0.0           | 0.9334              |
-| 0.9819 | 9000  | 0.0045          | 0.0                  | 0.0               | 0.0           | 0.9376              |
-| 1.3092 | 12000 | 0.0047          | 0.0                  | 0.0               | 0.0           | 0.9377              |
-| 1.6365 | 15000 | 0.0045          | 0.0                  | 0.0               | 0.0           | 0.9339              |
-| 1.9638 | 18000 | 0.0046          | 0.0                  | 0.0               | 0.0           | 0.9373              |
-| 2.2911 | 21000 | 0.0054          | 0.0                  | 0.0               | 0.0           | 0.9351              |
-| 2.6184 | 24000 | 0.0053          | 0.0                  | 0.0               | 0.0           | 0.9373              |
-| 2.9457 | 27000 | 0.0052          | 0.0                  | 0.0               | 0.0           | 0.9359              |
+| Epoch  | Step  | Validation Loss |
+|:------:|:-----:|:---------------:|
+| 0.3273 | 3000  | 0.0052          |
+| 0.6546 | 6000  | 0.0047          |
+| 0.9819 | 9000  | 0.0045          |
+| 1.3092 | 12000 | 0.0047          |
+| 1.6365 | 15000 | 0.0045          |
+| 1.9638 | 18000 | 0.0046          |
+| 2.2911 | 21000 | 0.0054          |
+| 2.6184 | 24000 | 0.0053          |
+| 2.9457 | 27000 | 0.0052          |
 
 ### Environmental Impact
 Carbon emissions were measured using [CodeCarbon](https://github.com/mlco2/codecarbon).