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: 0.1231
-- Precision: 0.9199
-- Recall: 0.9222
-- F1: 0.9210
-- Accuracy: 0.9811
+- Loss: 0.1834
+- Precision: 0.6839
+- Recall: 0.7644
+- F1: 0.7219
+- Accuracy: 0.9459
 
 ## Model description
 
@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1804        | 1.0   | 477  | 0.0823          | 0.8069    | 0.8646 | 0.8347 | 0.9712   |
-| 0.0667        | 2.0   | 954  | 0.0779          | 0.8221    | 0.8807 | 0.8504 | 0.9738   |
-| 0.0392        | 3.0   | 1431 | 0.0953          | 0.8444    | 0.8853 | 0.8644 | 0.9744   |
-| 0.0205        | 4.0   | 1908 | 0.0942          | 0.9201    | 0.9148 | 0.9175 | 0.9802   |
-| 0.0113        | 5.0   | 2385 | 0.1011          | 0.9168    | 0.9213 | 0.9191 | 0.9812   |
-| 0.0093        | 6.0   | 2862 | 0.1053          | 0.9087    | 0.9183 | 0.9135 | 0.9805   |
-| 0.007         | 7.0   | 3339 | 0.1162          | 0.9211    | 0.9213 | 0.9212 | 0.9815   |
-| 0.0037        | 8.0   | 3816 | 0.1230          | 0.9167    | 0.9202 | 0.9185 | 0.9806   |
-| 0.0025        | 9.0   | 4293 | 0.1215          | 0.9198    | 0.9229 | 0.9213 | 0.9813   |
-| 0.0022        | 10.0  | 4770 | 0.1231          | 0.9199    | 0.9222 | 0.9210 | 0.9811   |
+| 0.7672        | 1.0   | 20   | 0.5162          | 0.0825    | 0.0401 | 0.0540 | 0.8256   |
+| 0.3886        | 2.0   | 40   | 0.3017          | 0.4778    | 0.5113 | 0.4939 | 0.9061   |
+| 0.2163        | 3.0   | 60   | 0.2214          | 0.5543    | 0.6266 | 0.5882 | 0.9225   |
+| 0.1199        | 4.0   | 80   | 0.1942          | 0.6346    | 0.7268 | 0.6776 | 0.9359   |
+| 0.0742        | 5.0   | 100  | 0.1852          | 0.6396    | 0.7293 | 0.6815 | 0.9409   |
+| 0.0555        | 6.0   | 120  | 0.1811          | 0.6943    | 0.7569 | 0.7242 | 0.9449   |
+| 0.0407        | 7.0   | 140  | 0.1860          | 0.6804    | 0.7469 | 0.7121 | 0.9439   |
+| 0.0346        | 8.0   | 160  | 0.1876          | 0.6952    | 0.7544 | 0.7236 | 0.9463   |
+| 0.0302        | 9.0   | 180  | 0.1820          | 0.6868    | 0.7694 | 0.7258 | 0.9459   |
+| 0.0289        | 10.0  | 200  | 0.1834          | 0.6839    | 0.7644 | 0.7219 | 0.9459   |
 
 
 ### Framework versions

model.safetensors

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runs/May27_18-56-33_f9a4e6f0f5a5/events.out.tfevents.1716836199.f9a4e6f0f5a5.210.0

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training_args.bin

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