End of training

README.md

@@ -5,21 +5,21 @@ base_model: roberta-base
 tags:
 - generated_from_trainer
 model-index:
-- name: Depression_continuous
+- name: Self-consciousness_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. -->
 
-# Depression_continuous
+# Self-consciousness_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: 0.0674
-- Rmse: 0.2596
-- Mae: 0.2114
-- Corr: 0.4863
+- Loss: 0.0411
+- Rmse: 0.2028
+- Mae: 0.1628
+- Corr: 0.3046
 
 ## 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  | 0.0765          | 0.2765 | 0.2304 | 0.4583 |
-| 0.0728        | 2.0   | 536  | 0.0676          | 0.2600 | 0.2117 | 0.4750 |
-| 0.0728        | 3.0   | 804  | 0.0674          | 0.2596 | 0.2114 | 0.4863 |
+| No log        | 1.0   | 268  | 0.0422          | 0.2055 | 0.1657 | 0.2674 |
+| 0.0486        | 2.0   | 536  | 0.0409          | 0.2023 | 0.1637 | 0.2972 |
+| 0.0486        | 3.0   | 804  | 0.0411          | 0.2028 | 0.1628 | 0.3046 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fa0a44c6f882c9bb9c64a8440bdad8dad00d41deda07e6fb5f79dc1ed627258a
+oid sha256:ce861552181e8810840384eb3411465df9c8bb64f4c96d2d56ccdc8144b20eec
 size 498609748