End of training

README.md

@@ -5,21 +5,21 @@ base_model: roberta-base
 tags:
 - generated_from_trainer
 model-index:
-- name: Neuro_continuous
+- name: HarmCare_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. -->
 
-# Neuro_continuous
+# HarmCare_continuous
 
 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: 0.0248
-- Rmse: 0.1575
-- Mae: 0.1269
-- Corr: 0.4855
+- Loss: 0.0254
+- Rmse: 0.1595
+- Mae: 0.1246
+- Corr: 0.2532
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rmse   | Mae    | Corr   |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
-| No log        | 1.0   | 268  | 0.0259          | 0.1611 | 0.1298 | 0.4733 |
-| 0.0323        | 2.0   | 536  | 0.0245          | 0.1565 | 0.1265 | 0.4860 |
-| 0.0323        | 3.0   | 804  | 0.0248          | 0.1575 | 0.1269 | 0.4855 |
+| No log        | 1.0   | 253  | 0.0284          | 0.1684 | 0.1301 | 0.2060 |
+| 0.0376        | 2.0   | 506  | 0.0267          | 0.1635 | 0.1326 | 0.2328 |
+| 0.0376        | 3.0   | 759  | 0.0254          | 0.1595 | 0.1246 | 0.2532 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:90af48a072a5eb4a49f7f4017b1d6db27f9c00a592a4c5193bfdd6faec7f7870
+oid sha256:2c95f1c7d81e0db4d2ca797113c564a9e38bf860ce46785f2d432db13117630e
 size 498609748