Training complete

README.md

@@ -1,13 +1,13 @@
 ---
-base_model: bert-base-cased
 license: apache-2.0
+base_model: bert-base-cased
+tags:
+- generated_from_trainer
 metrics:
 - precision
 - recall
 - f1
 - accuracy
-tags:
-- generated_from_trainer
 model-index:
 - name: bert-finetuned-ner4
   results: []
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.1263
-- Precision: 0.8887
-- Recall: 0.9039
-- F1: 0.8962
-- Accuracy: 0.9859
+- Loss: 0.1642
+- Precision: 0.3590
+- Recall: 0.5245
+- F1: 0.4262
+- Accuracy: 0.9491
 
 ## Model description
 
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.062         | 1.0   | 2489  | 0.0642          | 0.8268    | 0.8402 | 0.8334 | 0.9805   |
-| 0.0369        | 2.0   | 4978  | 0.0669          | 0.8463    | 0.8771 | 0.8614 | 0.9828   |
-| 0.0224        | 3.0   | 7467  | 0.0649          | 0.8452    | 0.8995 | 0.8715 | 0.9830   |
-| 0.0121        | 4.0   | 9956  | 0.0765          | 0.8678    | 0.8982 | 0.8827 | 0.9843   |
-| 0.0075        | 5.0   | 12445 | 0.0903          | 0.8805    | 0.8923 | 0.8863 | 0.9845   |
-| 0.0041        | 6.0   | 14934 | 0.0917          | 0.8822    | 0.9015 | 0.8918 | 0.9851   |
-| 0.0038        | 7.0   | 17423 | 0.1190          | 0.8876    | 0.8915 | 0.8895 | 0.9852   |
-| 0.0015        | 8.0   | 19912 | 0.1148          | 0.8880    | 0.9075 | 0.8976 | 0.9857   |
-| 0.0007        | 9.0   | 22401 | 0.1185          | 0.8858    | 0.9039 | 0.8948 | 0.9860   |
-| 0.001         | 10.0  | 24890 | 0.1263          | 0.8887    | 0.9039 | 0.8962 | 0.9859   |
+| 0.2799        | 1.0   | 2489  | 0.2542          | 0.1535    | 0.3218 | 0.2078 | 0.9191   |
+| 0.2266        | 2.0   | 4978  | 0.2269          | 0.1841    | 0.3946 | 0.2511 | 0.9255   |
+| 0.2033        | 3.0   | 7467  | 0.2130          | 0.1889    | 0.4095 | 0.2585 | 0.9272   |
+| 0.1799        | 4.0   | 9956  | 0.2015          | 0.1975    | 0.4561 | 0.2756 | 0.9267   |
+| 0.18          | 5.0   | 12445 | 0.1995          | 0.2402    | 0.4270 | 0.3075 | 0.9387   |
+| 0.1561        | 6.0   | 14934 | 0.1790          | 0.2731    | 0.4161 | 0.3298 | 0.9434   |
+| 0.1503        | 7.0   | 17423 | 0.1663          | 0.3237    | 0.5351 | 0.4034 | 0.9451   |
+| 0.1452        | 8.0   | 19912 | 0.1742          | 0.3319    | 0.5211 | 0.4055 | 0.9472   |
+| 0.1429        | 9.0   | 22401 | 0.1654          | 0.3515    | 0.5478 | 0.4282 | 0.9479   |
+| 0.1361        | 10.0  | 24890 | 0.1642          | 0.3590    | 0.5245 | 0.4262 | 0.9491   |
 
 
 ### Framework versions

runs/Jul31_04-11-52_05265ef3072b/events.out.tfevents.1722399354.05265ef3072b.573.0

@@ -1,3 +1,3 @@
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-size 19662
+oid sha256:bec77bcb3835ccd5ca9fa88c18530836b96a3bc39f533da8db5aa388e26b35e1
+size 20503

runs/Jul31_04-11-52_05265ef3072b/events.out.tfevents.1722402877.05265ef3072b.573.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be4493ba344fbb66552f9a443fadf9f14c3253159d4d57c413103c194f2f3531
+size 569