Model save

README.md

@@ -18,14 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5730
-- F1 Macro: 0.8681
-- F1: 0.9034
-- F1 Neg: 0.8328
-- Acc: 0.8775
-- Prec: 0.9016
-- Recall: 0.9051
-- Mcc: 0.7361
+- Loss: 0.5058
+- F1 Macro: 0.8727
+- F1: 0.9080
+- F1 Neg: 0.8374
+- Acc: 0.8825
+- Prec: 0.928
+- Recall: 0.8889
+- Mcc: 0.7469
 
 ## Model description
 
@@ -58,9 +58,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1     | F1 Neg | Acc    | Prec   | Recall | Mcc    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
-| 0.5812        | 1.0   | 857  | 0.6521          | 0.7381   | 0.8547 | 0.6216 | 0.79   | 0.7623 | 0.9724 | 0.5462 |
-| 0.5111        | 2.0   | 1714 | 0.7755          | 0.7830   | 0.8340 | 0.7320 | 0.795  | 0.8583 | 0.8110 | 0.5682 |
-| 0.3324        | 3.0   | 2571 | 0.7336          | 0.8131   | 0.8733 | 0.7528 | 0.8325 | 0.84   | 0.9094 | 0.6316 |
+| 0.5703        | 1.0   | 1681 | 0.5408          | 0.8014   | 0.8717 | 0.7311 | 0.8263 | 0.8237 | 0.9255 | 0.6155 |
+| 0.4812        | 2.0   | 3362 | 0.5507          | 0.8373   | 0.8910 | 0.7836 | 0.855  | 0.8556 | 0.9294 | 0.6808 |
+| 0.3558        | 3.0   | 5043 | 0.6018          | 0.8481   | 0.8906 | 0.8056 | 0.86   | 0.8872 | 0.8941 | 0.6962 |
 
 
 ### Framework versions

runs/Mar26_08-36-45_tardis/events.out.tfevents.1711439147.tardis.895130.1

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