End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
+base_model: distilbert/distilbert-base-cased
 tags:
 - generated_from_trainer
 datasets:
@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.8894709271870089
+      value: 0.8793253347243958
     - name: Recall
       type: recall
-      value: 0.9019121813031161
+      value: 0.8953611898016998
     - name: F1
       type: f1
-      value: 0.8956483516483517
+      value: 0.8872708132292307
     - name: Accuracy
       type: accuracy
-      value: 0.9791105846882739
+      value: 0.9776031011090772
 ---
 
 <!-- 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. -->
 
 # ner_model_2
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the conll2003 dataset.
+This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on the conll2003 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1156
-- Precision: 0.8895
-- Recall: 0.9019
-- F1: 0.8956
-- Accuracy: 0.9791
+- Loss: 0.1230
+- Precision: 0.8793
+- Recall: 0.8954
+- F1: 0.8873
+- Accuracy: 0.9776
 
 ## Model description
 
@@ -80,9 +80,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.207         | 1.0   | 878  | 0.1029          | 0.8715    | 0.8862 | 0.8788 | 0.9756   |
-| 0.0398        | 2.0   | 1756 | 0.1129          | 0.8753    | 0.9019 | 0.8884 | 0.9777   |
-| 0.0223        | 3.0   | 2634 | 0.1156          | 0.8895    | 0.9019 | 0.8956 | 0.9791   |
+| 0.1882        | 1.0   | 878  | 0.1169          | 0.8557    | 0.8798 | 0.8676 | 0.9744   |
+| 0.0376        | 2.0   | 1756 | 0.1160          | 0.8811    | 0.8962 | 0.8886 | 0.9779   |
+| 0.0202        | 3.0   | 2634 | 0.1230          | 0.8793    | 0.8954 | 0.8873 | 0.9776   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b73ff7d7b5974d6932a6cd1f3425b0dc576f2e4e76258995f21ee44f86e3e3d7
+oid sha256:3b1619af0d0a4d92b832cdf97c3e36e13f4bf571d3caab46ffff11746fe85801
 size 260803668