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-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5519
-- F1 Macro: 0.8624
-- F1: 0.9150
-- F1 Neg: 0.8097
-- Acc: 0.8825
-- Prec: 0.8908
-- Recall: 0.9405
-- Mcc: 0.7280
+- Loss: 0.4340
+- F1 Macro: 0.8964
+- F1: 0.9303
+- F1 Neg: 0.8625
+- Acc: 0.9075
+- Prec: 0.9427
+- Recall: 0.9182
+- Mcc: 0.7935
 
 ## 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    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
-| 0.5605        | 1.0   | 835  | 0.4052          | 0.8129   | 0.8807 | 0.7451 | 0.8375 | 0.8304 | 0.9375 | 0.6402 |
-| 0.4662        | 2.0   | 1670 | 0.6216          | 0.8229   | 0.8818 | 0.7640 | 0.8425 | 0.8484 | 0.9180 | 0.6515 |
-| 0.3161        | 3.0   | 2505 | 0.6697          | 0.8360   | 0.8880 | 0.7839 | 0.8525 | 0.8635 | 0.9141 | 0.6748 |
+| 0.5639        | 1.0   | 841  | 0.4433          | 0.8482   | 0.8858 | 0.8106 | 0.8575 | 0.9095 | 0.8633 | 0.6984 |
+| 0.308         | 2.0   | 1682 | 0.4278          | 0.8875   | 0.9210 | 0.8541 | 0.8975 | 0.9087 | 0.9336 | 0.7757 |
+| 0.1499        | 3.0   | 2523 | 0.5296          | 0.8930   | 0.9203 | 0.8658 | 0.9    | 0.9390 | 0.9023 | 0.7874 |
 
 
 ### Framework versions

runs/Mar26_16-25-10_tardis/events.out.tfevents.1711467511.tardis.3525180.1

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