End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3239
-- Precision: 0.8504
-- Recall: 0.8809
-- F1: 0.8654
-- Accuracy: 0.9374
+- Loss: 0.0987
+- Precision: 0.9112
+- Recall: 0.9364
+- F1: 0.9236
+- Accuracy: 0.9600
 
 ## Model description
 
@@ -44,7 +44,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 2e-06
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -55,19 +55,17 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 22   | 0.6944          | 0.5741    | 0.5709 | 0.5725 | 0.8288   |
-| No log        | 2.0   | 44   | 0.3034          | 0.6513    | 0.7202 | 0.6840 | 0.9087   |
-| 0.9588        | 3.0   | 66   | 0.2329          | 0.7842    | 0.8658 | 0.8230 | 0.9333   |
-| 0.9588        | 4.0   | 88   | 0.2129          | 0.8108    | 0.8507 | 0.8303 | 0.9352   |
-| 0.1537        | 5.0   | 110  | 0.2101          | 0.8190    | 0.8469 | 0.8327 | 0.9345   |
-| 0.1537        | 6.0   | 132  | 0.2487          | 0.8427    | 0.8809 | 0.8614 | 0.9390   |
-| 0.0776        | 7.0   | 154  | 0.2302          | 0.8369    | 0.8828 | 0.8592 | 0.9420   |
-| 0.0776        | 8.0   | 176  | 0.2696          | 0.8684    | 0.8979 | 0.8829 | 0.9404   |
-| 0.0776        | 9.0   | 198  | 0.2801          | 0.8391    | 0.8771 | 0.8577 | 0.9367   |
-| 0.0356        | 10.0  | 220  | 0.2912          | 0.8437    | 0.8979 | 0.8700 | 0.9409   |
-| 0.0356        | 11.0  | 242  | 0.3239          | 0.8504    | 0.8809 | 0.8654 | 0.9374   |
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1351        | 1.0   | 1527  | 0.1158          | 0.8592    | 0.9070 | 0.8825 | 0.9517   |
+| 0.1088        | 2.0   | 3054  | 0.1045          | 0.8787    | 0.9336 | 0.9053 | 0.9574   |
+| 0.1016        | 3.0   | 4581  | 0.0993          | 0.8901    | 0.9280 | 0.9086 | 0.9576   |
+| 0.1102        | 4.0   | 6108  | 0.0963          | 0.8991    | 0.9277 | 0.9132 | 0.9587   |
+| 0.0877        | 5.0   | 7635  | 0.0953          | 0.9046    | 0.9292 | 0.9167 | 0.9584   |
+| 0.0933        | 6.0   | 9162  | 0.0939          | 0.9036    | 0.9321 | 0.9176 | 0.9593   |
+| 0.0827        | 7.0   | 10689 | 0.0967          | 0.8986    | 0.9398 | 0.9188 | 0.9605   |
+| 0.0933        | 8.0   | 12216 | 0.0949          | 0.9122    | 0.9292 | 0.9206 | 0.9593   |
+| 0.084         | 9.0   | 13743 | 0.0987          | 0.9112    | 0.9364 | 0.9236 | 0.9600   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:533c96bc176b3e9cbc313de2b08f374a8eed4a757df2dc9c27645724be3e02fc
+oid sha256:3e35f9523263cfd69f342c16ffc54d1e948419251505046af5a6ba25e6199102
 size 440170348

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1a6a050f0f0227134a5cdffbc5c827c47b35710e9738a43341be40e08950eb84
+oid sha256:7ea0bddfd5174cc2f6614309ee262ca5aee4fc6c981cbcbb30a233b7230db3b3
 size 5304