Training complete

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: bert-base-cased
+license: mit
+base_model: emilyalsentzer/Bio_ClinicalBERT
 tags:
 - generated_from_trainer
 datasets:
@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.7806004618937644
+      value: 0.8033573141486811
     - name: Recall
       type: recall
-      value: 0.8589580686149937
+      value: 0.8513341804320204
     - name: F1
       type: f1
-      value: 0.8179068360556564
+      value: 0.8266502159161011
     - name: Accuracy
       type: accuracy
-      value: 0.9826963774430474
+      value: 0.9835329804686291
 ---
 
 <!-- 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 [bert-base-cased](https://huggingface.co/bert-base-cased) on the ncbi_disease dataset.
+This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the ncbi_disease dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0745
-- Precision: 0.7806
-- Recall: 0.8590
-- F1: 0.8179
-- Accuracy: 0.9827
+- Loss: 0.0626
+- Precision: 0.8034
+- Recall: 0.8513
+- F1: 0.8267
+- Accuracy: 0.9835
 
 ## Model description
 
@@ -80,9 +80,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1184        | 1.0   | 680  | 0.0607          | 0.7512    | 0.8285 | 0.7879 | 0.9823   |
-| 0.044         | 2.0   | 1360 | 0.0616          | 0.7635    | 0.8450 | 0.8022 | 0.9832   |
-| 0.0159        | 3.0   | 2040 | 0.0745          | 0.7806    | 0.8590 | 0.8179 | 0.9827   |
+| 0.1245        | 1.0   | 680  | 0.0536          | 0.7295    | 0.8158 | 0.7702 | 0.9814   |
+| 0.0392        | 2.0   | 1360 | 0.0551          | 0.7907    | 0.8399 | 0.8145 | 0.9831   |
+| 0.0155        | 3.0   | 2040 | 0.0626          | 0.8034    | 0.8513 | 0.8267 | 0.9835   |
 
 
 ### Framework versions

runs/Sep16_22-13-56_f72b346c1a48/events.out.tfevents.1726524840.f72b346c1a48.1491.1

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-size 6770
+oid sha256:8a300b80d2c21aa39397210ce217f8f373457a48ed5c8c165e2fe0cf072f0a35
+size 7596