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 [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6584
-- Icm: 0.0568
-- Icmnorm: 0.5288
-- Fmeasure: 0.6851
+- Loss: 1.3745
+- Icm: -0.0196
+- Icmnorm: 0.4901
+- Fmeasure: 0.6565
 
 ## 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  | 0.6695          | -0.1296 | 0.4342  | 0.6006   |
-| No log        | 2.0   | 386  | 0.6774          | -0.1417 | 0.4281  | 0.5798   |
-| 0.5681        | 3.0   | 579  | 0.6584          | 0.0568  | 0.5288  | 0.6851   |
+| 0.6233        | 1.0   | 771  | 0.6371          | -0.0341 | 0.4827  | 0.6416   |
+| 0.4026        | 2.0   | 1542 | 0.8523          | -0.1320 | 0.4330  | 0.5968   |
+| 0.2684        | 3.0   | 2313 | 1.3745          | -0.0196 | 0.4901  | 0.6565   |
 
 
 ### 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_09-46-55_tardis/events.out.tfevents.1714031515.tardis.127629.5

@@ -0,0 +1,3 @@
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+oid sha256:5c9ba14c300ec62ebe7224048ae692f9701c5ac075991da7f3f15d6790484104
+size 509