update model card README.md

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2296
-- Accuracy: 0.7002
-- Precision: 0.6399
-- Recall: 0.6265
-- F1: 0.6273
+- Loss: 0.9319
+- Accuracy: 0.6982
+- Precision: 0.6327
+- Recall: 0.6314
+- F1: 0.6320
 
 ## Model description
 
@@ -48,29 +48,24 @@ The following hyperparameters were used during training:
 - seed: 43
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 35
+- num_epochs: 25
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 1.0588        | 1.98  | 248  | 0.9827          | 0.5815   | 0.3985    | 0.5400 | 0.4263 |
-| 0.9378        | 3.97  | 496  | 0.9008          | 0.5976   | 0.3943    | 0.5477 | 0.4338 |
-| 0.8398        | 5.95  | 744  | 0.8357          | 0.5956   | 0.4079    | 0.5579 | 0.4378 |
-| 0.7621        | 7.94  | 992  | 0.8357          | 0.6157   | 0.5545    | 0.5605 | 0.4716 |
-| 0.6944        | 9.92  | 1240 | 0.8643          | 0.6499   | 0.5919    | 0.5874 | 0.5452 |
-| 0.632         | 11.9  | 1488 | 0.8697          | 0.6781   | 0.6075    | 0.6083 | 0.5959 |
-| 0.5632        | 13.89 | 1736 | 0.9161          | 0.6962   | 0.6136    | 0.6001 | 0.6047 |
-| 0.4945        | 15.87 | 1984 | 0.8818          | 0.6861   | 0.6081    | 0.6109 | 0.6093 |
-| 0.4221        | 17.86 | 2232 | 0.9333          | 0.7042   | 0.6350    | 0.6350 | 0.6348 |
-| 0.3725        | 19.84 | 2480 | 0.9893          | 0.6982   | 0.6279    | 0.6168 | 0.6193 |
-| 0.324         | 21.82 | 2728 | 0.9935          | 0.6922   | 0.6298    | 0.6169 | 0.6163 |
-| 0.2864        | 23.81 | 2976 | 1.0814          | 0.7042   | 0.6400    | 0.6233 | 0.6243 |
-| 0.2577        | 25.79 | 3224 | 1.1441          | 0.7082   | 0.6455    | 0.6302 | 0.6337 |
-| 0.2336        | 27.78 | 3472 | 1.1693          | 0.6982   | 0.6405    | 0.6242 | 0.6254 |
-| 0.2155        | 29.76 | 3720 | 1.1397          | 0.7042   | 0.6456    | 0.6405 | 0.6396 |
-| 0.2086        | 31.74 | 3968 | 1.1803          | 0.7002   | 0.6408    | 0.6302 | 0.6278 |
-| 0.1923        | 33.73 | 4216 | 1.2296          | 0.7002   | 0.6399    | 0.6265 | 0.6273 |
+| 1.0542        | 1.98  | 248  | 0.9786          | 0.5976   | 0.3936    | 0.5454 | 0.4330 |
+| 0.9307        | 3.97  | 496  | 0.8836          | 0.5996   | 0.4072    | 0.5604 | 0.4399 |
+| 0.8323        | 5.95  | 744  | 0.8266          | 0.5996   | 0.5508    | 0.5720 | 0.4527 |
+| 0.7554        | 7.94  | 992  | 0.8006          | 0.6318   | 0.5601    | 0.5838 | 0.5232 |
+| 0.6821        | 9.92  | 1240 | 0.8777          | 0.6740   | 0.5929    | 0.5875 | 0.5836 |
+| 0.6173        | 11.9  | 1488 | 0.8389          | 0.6640   | 0.5918    | 0.6031 | 0.5881 |
+| 0.5552        | 13.89 | 1736 | 0.9003          | 0.6962   | 0.6240    | 0.6160 | 0.6191 |
+| 0.4932        | 15.87 | 1984 | 0.8979          | 0.6982   | 0.6266    | 0.6231 | 0.6245 |
+| 0.4446        | 17.86 | 2232 | 0.9104          | 0.7002   | 0.6310    | 0.6290 | 0.6298 |
+| 0.4084        | 19.84 | 2480 | 0.9284          | 0.7002   | 0.6278    | 0.6255 | 0.6264 |
+| 0.3763        | 21.82 | 2728 | 0.9228          | 0.7082   | 0.6436    | 0.6380 | 0.6398 |
+| 0.3575        | 23.81 | 2976 | 0.9319          | 0.6982   | 0.6327    | 0.6314 | 0.6320 |
 
 
 ### Framework versions