End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Cooperation_binary
+- name: Modesty_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. -->
 
-# Cooperation_binary
+# Modesty_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: 0.5564
-- Accuracy: 0.7211
-- Precision: 0.7130
-- Recall: 0.7278
-- F1: 0.7203
-- Auc: 0.7212
+- Loss: 0.6643
+- Accuracy: 0.6782
+- Precision: 0.6621
+- Recall: 0.7228
+- F1: 0.6911
+- Auc: 0.6783
 
 ## 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  | 0.6573          | 0.5961   | 0.5574    | 0.8809 | 0.6828 | 0.5998 |
-| No log        | 2.0   | 268  | 0.5831          | 0.7090   | 0.7364    | 0.6389 | 0.6842 | 0.7081 |
-| No log        | 3.0   | 402  | 0.5564          | 0.7211   | 0.7130    | 0.7278 | 0.7203 | 0.7212 |
+| No log        | 1.0   | 134  | 0.6134          | 0.6558   | 0.6998    | 0.5412 | 0.6103 | 0.6554 |
+| No log        | 2.0   | 268  | 0.6132          | 0.6791   | 0.7149    | 0.5918 | 0.6475 | 0.6788 |
+| No log        | 3.0   | 402  | 0.6643          | 0.6782   | 0.6621    | 0.7228 | 0.6911 | 0.6783 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b85f23ec0c0ca59cde6ef14d086b445c9fbfa4aae595c8b798955743dec87fd3
+oid sha256:9129b62de6239e8b68408478fa5527b3f8a0210b9c99417e81c0f01ee679e6a2
 size 1421495416