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: 0.1398
-- Precision: 0.9283
-- Recall: 0.9354
-- F1: 0.9318
-- Accuracy: 0.9798
+- Loss: 0.1320
+- Precision: 0.9254
+- Recall: 0.9350
+- F1: 0.9302
+- Accuracy: 0.9800
 
 ## Model description
 
@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.171         | 1.0   | 477  | 0.0779          | 0.9033    | 0.9178 | 0.9105 | 0.9767   |
-| 0.0532        | 2.0   | 954  | 0.0857          | 0.9076    | 0.9247 | 0.9161 | 0.9773   |
-| 0.0292        | 3.0   | 1431 | 0.0917          | 0.9229    | 0.9300 | 0.9264 | 0.9794   |
-| 0.0178        | 4.0   | 1908 | 0.1063          | 0.9264    | 0.9317 | 0.9291 | 0.9789   |
-| 0.0101        | 5.0   | 2385 | 0.1097          | 0.9240    | 0.9318 | 0.9279 | 0.9792   |
-| 0.0062        | 6.0   | 2862 | 0.1205          | 0.9257    | 0.9333 | 0.9295 | 0.9794   |
-| 0.0034        | 7.0   | 3339 | 0.1278          | 0.9262    | 0.9337 | 0.9300 | 0.9790   |
-| 0.0028        | 8.0   | 3816 | 0.1335          | 0.9257    | 0.9333 | 0.9295 | 0.9793   |
-| 0.002         | 9.0   | 4293 | 0.1397          | 0.9299    | 0.9365 | 0.9332 | 0.9798   |
-| 0.0014        | 10.0  | 4770 | 0.1398          | 0.9283    | 0.9354 | 0.9318 | 0.9798   |
+| 0.1711        | 1.0   | 477  | 0.0834          | 0.8308    | 0.8820 | 0.8556 | 0.9697   |
+| 0.0642        | 2.0   | 954  | 0.0817          | 0.8323    | 0.8888 | 0.8596 | 0.9720   |
+| 0.0401        | 3.0   | 1431 | 0.0935          | 0.8404    | 0.8930 | 0.8659 | 0.9720   |
+| 0.0272        | 4.0   | 1908 | 0.1043          | 0.8506    | 0.8959 | 0.8727 | 0.9721   |
+| 0.0148        | 5.0   | 2385 | 0.1051          | 0.9195    | 0.9309 | 0.9252 | 0.9793   |
+| 0.007         | 6.0   | 2862 | 0.1181          | 0.9190    | 0.9298 | 0.9243 | 0.9789   |
+| 0.0054        | 7.0   | 3339 | 0.1185          | 0.9250    | 0.9337 | 0.9293 | 0.9796   |
+| 0.0027        | 8.0   | 3816 | 0.1252          | 0.9239    | 0.9342 | 0.9290 | 0.9801   |
+| 0.0018        | 9.0   | 4293 | 0.1298          | 0.9247    | 0.9335 | 0.9291 | 0.9799   |
+| 0.0015        | 10.0  | 4770 | 0.1320          | 0.9254    | 0.9350 | 0.9302 | 0.9800   |
 
 
 ### Framework versions

model.safetensors

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runs/May15_03-35-57_8358c6fc3679/events.out.tfevents.1715744163.8358c6fc3679.244.0

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training_args.bin

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