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 [bayartsogt/mongolian-roberta-base](https://huggingface.co/bayartsogt/mongolian-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0790
-- Precision: 0.9189
-- Recall: 0.9316
-- F1: 0.9252
-- Accuracy: 0.9794
+- Loss: 0.1207
+- Precision: 0.9273
+- Recall: 0.9357
+- F1: 0.9315
+- Accuracy: 0.9802
 
 ## Model description
 
@@ -50,17 +50,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.3764        | 1.0   | 60   | 0.1122          | 0.7718    | 0.8424 | 0.8055 | 0.9604   |
-| 0.1021        | 2.0   | 120  | 0.0908          | 0.8087    | 0.8760 | 0.8410 | 0.9679   |
-| 0.0698        | 3.0   | 180  | 0.0862          | 0.8342    | 0.8861 | 0.8594 | 0.9703   |
-| 0.0476        | 4.0   | 240  | 0.0779          | 0.9056    | 0.9242 | 0.9148 | 0.9784   |
-| 0.0337        | 5.0   | 300  | 0.0790          | 0.9189    | 0.9316 | 0.9252 | 0.9794   |
+| 0.0259        | 1.0   | 60   | 0.0856          | 0.9222    | 0.9308 | 0.9265 | 0.9792   |
+| 0.0145        | 2.0   | 120  | 0.0951          | 0.9200    | 0.9296 | 0.9248 | 0.9788   |
+| 0.0104        | 3.0   | 180  | 0.1018          | 0.9143    | 0.9303 | 0.9222 | 0.9784   |
+| 0.0073        | 4.0   | 240  | 0.1062          | 0.9224    | 0.9319 | 0.9272 | 0.9791   |
+| 0.0068        | 5.0   | 300  | 0.1133          | 0.9246    | 0.9340 | 0.9293 | 0.9794   |
+| 0.0108        | 6.0   | 360  | 0.1055          | 0.9207    | 0.9306 | 0.9256 | 0.9788   |
+| 0.0078        | 7.0   | 420  | 0.1170          | 0.9207    | 0.9334 | 0.9270 | 0.9786   |
+| 0.0061        | 8.0   | 480  | 0.1114          | 0.9226    | 0.9348 | 0.9286 | 0.9803   |
+| 0.005         | 9.0   | 540  | 0.1165          | 0.9255    | 0.9341 | 0.9298 | 0.9798   |
+| 0.0038        | 10.0  | 600  | 0.1207          | 0.9273    | 0.9357 | 0.9315 | 0.9802   |
 
 
 ### Framework versions

model.safetensors

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runs/May26_21-31-14_debf144f0859/events.out.tfevents.1716759093.debf144f0859.34.1

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training_args.bin

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