End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Excitement_Seeking_binary
+- name: Cheerfulness_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. -->
 
-# Excitement_Seeking_binary
+# Cheerfulness_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: 0.6047
-- Accuracy: 0.6887
-- Precision: 0.7024
-- Recall: 0.7148
-- F1: 0.7086
-- Auc: 0.6871
+- Loss: 0.6628
+- Accuracy: 0.6468
+- Precision: 0.6342
+- Recall: 0.6922
+- F1: 0.6619
+- Auc: 0.6468
 
 ## 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  | 0.6683          | 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 |
+| No log        | 1.0   | 134  | 0.6443          | 0.6421   | 0.6306    | 0.6847 | 0.6565 | 0.6422 |
+| No log        | 2.0   | 268  | 0.6351          | 0.6431   | 0.6147    | 0.7649 | 0.6816 | 0.6432 |
+| No log        | 3.0   | 402  | 0.6628          | 0.6468   | 0.6342    | 0.6922 | 0.6619 | 0.6468 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:56badee37c1fa9ca7f5f36b6fd719baa20b32d8984c5c259ed310f57cde46987
+oid sha256:8cdf90ab72fd85a393ec6439d5101fb103fba16353d9a83ccb3cf1bda7c4db8a
 size 1421495416