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: 0.6785
-- F1 Macro: 0.8280
-- F1: 0.8929
-- F1 Neg: 0.7631
-- Acc: 0.8525
-- Prec: 0.8723
-- Recall: 0.9145
-- Mcc: 0.6583
+- Loss: 0.4068
+- F1 Macro: 0.8879
+- F1: 0.9207
+- F1 Neg: 0.8551
+- Acc: 0.8975
+- Prec: 0.9119
+- Recall: 0.9297
+- Mcc: 0.7761
 
 ## 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    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
-| 0.6384        | 1.0   | 835  | 0.5376          | 0.8057   | 0.8669 | 0.7445 | 0.825  | 0.8444 | 0.8906 | 0.6138 |
-| 0.4929        | 2.0   | 1670 | 0.6960          | 0.8014   | 0.8734 | 0.7294 | 0.8275 | 0.8235 | 0.9297 | 0.6170 |
-| 0.3293        | 3.0   | 2505 | 0.7225          | 0.8248   | 0.8805 | 0.7692 | 0.8425 | 0.8561 | 0.9062 | 0.6525 |
+| No log        | 1.0   | 455  | 0.3953          | 0.8401   | 0.8681 | 0.8121 | 0.845  | 0.9533 | 0.7969 | 0.7001 |
+| 0.4578        | 2.0   | 910  | 0.3415          | 0.8924   | 0.9209 | 0.8639 | 0.9    | 0.932  | 0.9102 | 0.7854 |
+| 0.2713        | 3.0   | 1365 | 0.4068          | 0.8879   | 0.9207 | 0.8551 | 0.8975 | 0.9119 | 0.9297 | 0.7761 |
 
 
 ### Framework versions

model.safetensors

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 version https://git-lfs.github.com/spec/v1
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+oid sha256:bf753587ce34b8375ca565253e52dd97d32531fcd9362433160dde891c0412e6
 size 433270768