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 [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 7.3466
+- Loss: 6.0896
 
 ## Model description
 
@@ -46,9 +46,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 56   | 8.3740          |
-| No log        | 2.0   | 112  | 7.5859          |
-| No log        | 3.0   | 168  | 7.3495          |
+| No log        | 1.0   | 22   | 6.7794          |
+| No log        | 2.0   | 44   | 6.2753          |
+| No log        | 3.0   | 66   | 6.4300          |
 
 
 ### Framework versions

runs/Jul31_04-30-32_45c400d99165/events.out.tfevents.1722400234.45c400d99165.813.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:082a17848cfa6edaf183a4e640f530f555093737629d2da59196f9386ddd6d15
-size 5370
+oid sha256:29c8b0fe2d7c764d94be04458cb8a2042a9fb1b299db4b7dfbdc1280bd5d0b49
+size 5984

runs/Jul31_04-30-32_45c400d99165/events.out.tfevents.1722401189.45c400d99165.813.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c560e5b229a56c59e17092b2d77d955d7347d33b83ef9b60b5d9fa272b177a6e
+size 354