Commit 1

README.md

@@ -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: 0.0575
-- Precision: 0.9286
-- Recall: 0.9483
-- F1: 0.9384
-- Accuracy: 0.9865
+- Loss: 0.0609
+- Precision: 0.9387
+- Recall: 0.9517
+- F1: 0.9452
+- Accuracy: 0.9869
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 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   |
+| 0.0806        | 1.0   | 1756 | 0.0714          | 0.9103    | 0.9357 | 0.9228 | 0.9821   |
+| 0.0405        | 2.0   | 3512 | 0.0578          | 0.9288    | 0.9487 | 0.9386 | 0.9862   |
+| 0.0243        | 3.0   | 5268 | 0.0609          | 0.9387    | 0.9517 | 0.9452 | 0.9869   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 430929740