End of training

README.md

@@ -18,7 +18,7 @@ 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: 2.0928
+- Loss: 2.0410
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 288  | 2.1640          |
-| 2.3104        | 2.0   | 576  | 2.1621          |
-| 2.3104        | 3.0   | 864  | 2.0928          |
+| No log        | 1.0   | 282  | 2.1147          |
+| 2.3066        | 2.0   | 564  | 2.1163          |
+| 2.3066        | 3.0   | 846  | 2.0410          |
 
 
 ### Framework versions

runs/Sep11_00-15-28_a4bf01945d25.jf.intel.com/events.out.tfevents.1726038932.a4bf01945d25.jf.intel.com.445014.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 5756
+oid sha256:b159c2a23c9d6ca4998c4f94c1f1fe4ba3dc80814751048b23a186dbaa5784e8
+size 6381