Model save

README.md

@@ -15,10 +15,10 @@ 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: 0.7353
-- Icm: 0.1069
-- Icmnorm: 0.5542
-- Fmeasure: 0.7011
+- Loss: 1.9738
+- Icm: 0.0090
+- Icmnorm: 0.5045
+- Fmeasure: 0.6624
 
 ## Model description
 
@@ -51,14 +51,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Icm     | Icmnorm | Fmeasure |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:--------:|
-| No log        | 1.0   | 193  | 0.5957          | -0.1844 | 0.4065  | 0.5965   |
-| No log        | 2.0   | 386  | 0.6312          | -0.0556 | 0.4718  | 0.6305   |
-| 0.5023        | 3.0   | 579  | 0.7353          | 0.1069  | 0.5542  | 0.7011   |
+| 0.6048        | 1.0   | 771  | 0.7006          | -0.0220 | 0.4888  | 0.6544   |
+| 0.2473        | 2.0   | 1542 | 1.4364          | -0.0389 | 0.4803  | 0.6355   |
+| 0.0964        | 3.0   | 2313 | 1.9738          | 0.0090  | 0.5045  | 0.6624   |
 
 
 ### Framework versions
 
-- Transformers 4.39.3
-- Pytorch 2.2.2+cu121
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

runs/Apr25_09-41-53_tardis/events.out.tfevents.1714031206.tardis.127629.3

@@ -0,0 +1,3 @@
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+oid sha256:2f95c620d7498a382dd130073bb4bb291f5482fd4cc00215216a3d9b84fbe2df
+size 509