End of training

README.md

@@ -5,21 +5,21 @@ base_model: roberta-large
 tags:
 - generated_from_trainer
 model-index:
-- name: HarmCare_continuous
+- name: FairnessReciprocity_continuous
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# HarmCare_continuous
+# FairnessReciprocity_continuous
 
 This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0261
-- Rmse: 0.1616
-- Mae: 0.1287
-- Corr: 0.1385
+- Loss: 0.0241
+- Rmse: 0.1554
+- Mae: 0.1215
+- Corr: 0.1694
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rmse   | Mae    | Corr   |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
-| No log        | 1.0   | 253  | 0.0274          | 0.1655 | 0.1289 | 0.1134 |
-| 0.0525        | 2.0   | 506  | 0.0261          | 0.1616 | 0.1287 | 0.1385 |
+| No log        | 1.0   | 250  | 0.0250          | 0.1581 | 0.1285 | 0.1183 |
+| 0.0502        | 2.0   | 500  | 0.0241          | 0.1554 | 0.1215 | 0.1694 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:62fb2b76be3366612ece3d770f84615028a6ccec445742a405e7fbd04fe484b1
+oid sha256:cf72fd2f9dd823069901d1f0354e19ae481ad2670dd93cb54931f650d7870134
 size 1421491316