Training complete

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
-license: mit
-base_model: emilyalsentzer/Bio_ClinicalBERT
+license: apache-2.0
+base_model: bert-base-cased
 tags:
 - generated_from_trainer
 datasets:
@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.8098676293622142
+      value: 0.7791907514450868
     - name: Recall
       type: recall
-      value: 0.855146124523507
+      value: 0.8564167725540025
     - name: F1
       type: f1
-      value: 0.8318912237330038
+      value: 0.8159806295399515
     - name: Accuracy
       type: accuracy
-      value: 0.9839353700436438
+      value: 0.9823540395867049
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -43,13 +43,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-finetuned-ner
 
-This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the ncbi_disease dataset.
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the ncbi_disease dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0627
-- Precision: 0.8099
-- Recall: 0.8551
-- F1: 0.8319
-- Accuracy: 0.9839
+- Loss: 0.0713
+- Precision: 0.7792
+- Recall: 0.8564
+- F1: 0.8160
+- Accuracy: 0.9824
 
 ## Model description
 
@@ -80,9 +80,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1222        | 1.0   | 680  | 0.0522          | 0.7460    | 0.8247 | 0.7833 | 0.9828   |
-| 0.0392        | 2.0   | 1360 | 0.0542          | 0.7956    | 0.8361 | 0.8154 | 0.9837   |
-| 0.0149        | 3.0   | 2040 | 0.0627          | 0.8099    | 0.8551 | 0.8319 | 0.9839   |
+| 0.1175        | 1.0   | 680  | 0.0609          | 0.7252    | 0.8183 | 0.7690 | 0.9815   |
+| 0.0437        | 2.0   | 1360 | 0.0603          | 0.7489    | 0.8450 | 0.7940 | 0.9821   |
+| 0.016         | 3.0   | 2040 | 0.0713          | 0.7792    | 0.8564 | 0.8160 | 0.9824   |
 
 
 ### Framework versions

runs/Sep12_06-49-10_0f6714f4ef72/events.out.tfevents.1726123751.0f6714f4ef72.625.0

@@ -1,3 +1,3 @@
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-size 6837
+oid sha256:723e9a081aa5278d38717a274c9814f7598afd826b1bcaa98851a962812e029d
+size 7663