Model save

README.md

@@ -17,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4555
-- F1 Macro: 0.8329
-- F1: 0.8864
-- F1 Neg: 0.7794
-- Acc: 0.85
-- Prec: 0.9035
-- Recall: 0.8699
-- Mcc: 0.6670
+- Loss: 0.4366
+- F1 Macro: 0.8302
+- F1: 0.8917
+- F1 Neg: 0.7686
+- Acc: 0.8525
+- Prec: 0.8804
+- Recall: 0.9033
+- Mcc: 0.6610
 
 ## Model description
 
@@ -57,9 +57,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1     | F1 Neg | Acc    | Prec   | Recall | Mcc    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
-| No log        | 1.0   | 497  | 0.4926          | 0.7671   | 0.8270 | 0.7071 | 0.7825 | 0.8421 | 0.8125 | 0.5350 |
-| 0.6271        | 2.0   | 994  | 0.4256          | 0.7808   | 0.8608 | 0.7008 | 0.81   | 0.8103 | 0.9180 | 0.5762 |
-| 0.4307        | 3.0   | 1491 | 0.4918          | 0.8193   | 0.8726 | 0.7660 | 0.835  | 0.8626 | 0.8828 | 0.6390 |
+| 0.6636        | 1.0   | 614  | 0.5643          | 0.6935   | 0.8191 | 0.5678 | 0.745  | 0.75   | 0.9023 | 0.4193 |
+| 0.5206        | 2.0   | 1228 | 0.6205          | 0.7341   | 0.7640 | 0.7042 | 0.7375 | 0.8995 | 0.6641 | 0.5116 |
+| 0.4363        | 3.0   | 1842 | 0.5409          | 0.7997   | 0.8673 | 0.7321 | 0.8225 | 0.8315 | 0.9062 | 0.6059 |
 
 
 ### Framework versions

runs/Apr05_16-55-58_tardis/events.out.tfevents.1712329146.tardis.3496052.1

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