End of training

README.md

@@ -5,21 +5,21 @@ base_model: roberta-base
 tags:
 - generated_from_trainer
 model-index:
-- name: Immoderation_continuous
+- name: Vulnerability_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. -->
 
-# Immoderation_continuous
+# Vulnerability_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: 0.0435
-- Rmse: 0.2086
-- Mae: 0.1651
-- Corr: 0.2272
+- Loss: 0.0401
+- Rmse: 0.2003
+- Mae: 0.1621
+- Corr: 0.3595
 
 ## 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  | 0.0424          | 0.2060 | 0.1635 | 0.2115 |
-| 0.0485        | 2.0   | 536  | 0.0425          | 0.2063 | 0.1647 | 0.2240 |
-| 0.0485        | 3.0   | 804  | 0.0435          | 0.2086 | 0.1651 | 0.2272 |
+| No log        | 1.0   | 268  | 0.0402          | 0.2005 | 0.1615 | 0.3356 |
+| 0.0464        | 2.0   | 536  | 0.0408          | 0.2020 | 0.1648 | 0.3461 |
+| 0.0464        | 3.0   | 804  | 0.0401          | 0.2003 | 0.1621 | 0.3595 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e2c78a60f889b7a4ea85107b2db79977f275f0e58b97c61ff95a57a80279fa6c
+oid sha256:cc6e0871ae8d053a5b67f654799841c3076a9fd8a2a89e2fa6d6b76c68a0f391
 size 498609748