Commit 1

README.md

@@ -3,8 +3,6 @@ license: apache-2.0
 base_model: bert-base-cased
 tags:
 - generated_from_trainer
-datasets:
-- conll2003
 metrics:
 - precision
 - recall
@@ -12,29 +10,7 @@ metrics:
 - accuracy
 model-index:
 - name: bert-finetuned-ner
-  results:
-  - task:
-      name: Token Classification
-      type: token-classification
-    dataset:
-      name: conll2003
-      type: conll2003
-      config: conll2003
-      split: validation
-      args: conll2003
-    metrics:
-    - name: Precision
-      type: precision
-      value: 0.9308922975424707
-    - name: Recall
-      type: recall
-      value: 0.9498485358465163
-    - name: F1
-      type: f1
-      value: 0.9402748854643899
-    - name: Accuracy
-      type: accuracy
-      value: 0.9861806087007712
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -42,13 +18,13 @@ 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 conll2003 dataset.
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0602
-- Precision: 0.9309
-- Recall: 0.9498
-- F1: 0.9403
-- Accuracy: 0.9862
+- Loss: 0.0575
+- Precision: 0.9286
+- Recall: 0.9483
+- F1: 0.9384
+- Accuracy: 0.9865
 
 ## Model description
 
@@ -79,14 +55,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0814        | 1.0   | 1756 | 0.0702          | 0.9079    | 0.9354 | 0.9214 | 0.9815   |
-| 0.0405        | 2.0   | 3512 | 0.0568          | 0.9268    | 0.9487 | 0.9376 | 0.9862   |
-| 0.0246        | 3.0   | 5268 | 0.0602          | 0.9309    | 0.9498 | 0.9403 | 0.9862   |
+| 0.0813        | 1.0   | 1756 | 0.0724          | 0.9042    | 0.9340 | 0.9189 | 0.9804   |
+| 0.0413        | 2.0   | 3512 | 0.0568          | 0.9215    | 0.9461 | 0.9337 | 0.9854   |
+| 0.0249        | 3.0   | 5268 | 0.0575          | 0.9286    | 0.9483 | 0.9384 | 0.9865   |
 
 
 ### Framework versions
 
-- Transformers 4.31.0
-- Pytorch 2.0.1+cu117
-- Datasets 2.14.0
-- Tokenizers 0.13.3
+- Transformers 4.37.0
+- Pytorch 2.1.2+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a3c11df946c0c479989340d7dd877cb71d081cc9833a1e8c3b8328533ce9f940
+oid sha256:4e0c8881a0853e4ff69f207bb09493ac8b542eb31170acc163caf048f9812960
 size 430929740