End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the eli5_category dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0524
+- Loss: 2.0173
 
 ## Model description
 
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.2696        | 1.0   | 1320 | 2.0639          |
-| 2.1553        | 2.0   | 2640 | 2.0405          |
-| 2.1449        | 3.0   | 3960 | 2.0389          |
+| 2.2493        | 1.0   | 1332 | 2.0661          |
+| 2.1761        | 2.0   | 2664 | 2.0300          |
+| 2.1281        | 3.0   | 3996 | 2.0227          |
 
 
 ### Framework versions

runs/Aug25_18-30-51_63686663dcb1/events.out.tfevents.1724610654.63686663dcb1.3942.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ea79e0f7b0c8302209015338bdfec0e24476da4776ef298eb0c74c8a6b153eb3
-size 6901
+oid sha256:cfdb0b80eb3918af26beec1d8f2569274b9c88699c67d8906cc259be1ba3bc59
+size 7526

runs/Aug25_18-30-51_63686663dcb1/events.out.tfevents.1724611569.63686663dcb1.3942.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79d9433444a12ee33f61365d662c98c22f40f9bf04641219bc3f4035d6a95e6d
+size 359