End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Activity_Level_binary
+- name: Excitement_Seeking_binary
   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. -->
 
-# Activity_Level_binary
+# Excitement_Seeking_binary
 
 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: 0.6988
-- Accuracy: 0.6138
-- Precision: 0.638
-- Recall: 0.5779
-- F1: 0.6065
-- Auc: 0.6149
+- Loss: 0.6047
+- Accuracy: 0.6887
+- Precision: 0.7024
+- Recall: 0.7148
+- F1: 0.7086
+- Auc: 0.6871
 
 ## Model description
 
@@ -57,9 +57,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Auc    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
-| No log        | 1.0   | 134  | 0.6591          | 0.6073   | 0.6520    | 0.5091 | 0.5717 | 0.6103 |
-| No log        | 2.0   | 268  | 0.6495          | 0.6175   | 0.6511    | 0.5543 | 0.5988 | 0.6195 |
-| No log        | 3.0   | 402  | 0.6988          | 0.6138   | 0.638     | 0.5779 | 0.6065 | 0.6149 |
+| No log        | 1.0   | 134  | 0.6683          | 0.5993   | 0.7396    | 0.375  | 0.4977 | 0.6132 |
+| No log        | 2.0   | 268  | 0.6426          | 0.6226   | 0.7447    | 0.4366 | 0.5505 | 0.6342 |
+| No log        | 3.0   | 402  | 0.6047          | 0.6887   | 0.7024    | 0.7148 | 0.7086 | 0.6871 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c78b285eced15f6e6a953911fa3219a81b70aaffc81cd4ffbc0c49d0d841b990
+oid sha256:34d3eb8c1239421d22ed056e39c92f044050430216bea0c57221572088da3c40
 size 1421495416