End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4497
+- Loss: 0.3985
 
 ## Model description
 
@@ -47,26 +47,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.7063        | 1.0   | 50   | 0.6989          |
-| 0.693         | 2.0   | 100  | 0.6940          |
-| 0.6909        | 3.0   | 150  | 0.6865          |
-| 0.6769        | 4.0   | 200  | 0.6774          |
-| 0.6639        | 5.0   | 250  | 0.6681          |
-| 0.6703        | 6.0   | 300  | 0.6575          |
-| 0.6898        | 7.0   | 350  | 0.6478          |
-| 0.6433        | 8.0   | 400  | 0.6391          |
-| 0.6289        | 9.0   | 450  | 0.6303          |
-| 0.6271        | 10.0  | 500  | 0.6233          |
-| 0.6044        | 11.0  | 550  | 0.6081          |
-| 0.542         | 12.0  | 600  | 0.5786          |
-| 0.58          | 13.0  | 650  | 0.5533          |
-| 0.5063        | 14.0  | 700  | 0.5100          |
-| 0.476         | 15.0  | 750  | 0.4943          |
-| 0.382         | 16.0  | 800  | 0.4584          |
-| 0.3776        | 17.0  | 850  | 0.4497          |
-| 0.318         | 18.0  | 900  | 0.4572          |
-| 0.261         | 19.0  | 950  | 0.4691          |
-| 0.2593        | 20.0  | 1000 | 0.4965          |
+| 0.7446        | 1.0   | 50   | 0.7331          |
+| 0.7326        | 2.0   | 100  | 0.7265          |
+| 0.7179        | 3.0   | 150  | 0.7167          |
+| 0.7067        | 4.0   | 200  | 0.7032          |
+| 0.6927        | 5.0   | 250  | 0.6858          |
+| 0.6781        | 6.0   | 300  | 0.6656          |
+| 0.659         | 7.0   | 350  | 0.6407          |
+| 0.6353        | 8.0   | 400  | 0.6197          |
+| 0.63          | 9.0   | 450  | 0.6077          |
+| 0.6715        | 10.0  | 500  | 0.6059          |
+| 0.6293        | 11.0  | 550  | 0.5972          |
+| 0.603         | 12.0  | 600  | 0.5827          |
+| 0.5759        | 13.0  | 650  | 0.5587          |
+| 0.5927        | 14.0  | 700  | 0.5277          |
+| 0.5673        | 15.0  | 750  | 0.4986          |
+| 0.527         | 16.0  | 800  | 0.4772          |
+| 0.4916        | 17.0  | 850  | 0.4431          |
+| 0.4237        | 18.0  | 900  | 0.4342          |
+| 0.4034        | 19.0  | 950  | 0.3987          |
+| 0.3669        | 20.0  | 1000 | 0.3985          |
 
 
 ### Framework versions

logs/events.out.tfevents.1711970623.709d337ce7e4.8176.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3dbfaa321af47267b85ebfc3a436d9d0a45db7750ba02e164922d767949a5790
-size 14852
+oid sha256:629e46022f6121e05536e4a2d0de8ab22a1d2bdbc43b39156d64980212205ef2
+size 20901

logs/events.out.tfevents.1711971080.709d337ce7e4.8176.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d51cc6b0346deb87ab46c314fadec22d911da7c871b96ebd9be59d623ca2e4e
+size 311

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f9b64cc8bc85e5a13e25fcb677e8910b47d28473ca171d4543f61be0045f723c
+oid sha256:7a25183cd42a8cd58a5d1bd6bc4d44ffef661a24d2a317a49ce7bba8bfbc7738
 size 498612824