End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Orderliness_binary
+- name: Dutifulness_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. -->
 
-# Orderliness_binary
+# Dutifulness_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: 0.6240
-- Accuracy: 0.6477
-- Precision: 0.6343
-- Recall: 0.7206
-- F1: 0.6747
-- Auc: 0.6467
+- Loss: 0.5740
+- Accuracy: 0.7360
+- Precision: 0.7118
+- Recall: 0.7780
+- F1: 0.7434
+- Auc: 0.7367
 
 ## 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  | 0.6558          | 0.6188   | 0.5921    | 0.7978 | 0.6797 | 0.6163 |
-| No log        | 2.0   | 268  | 0.6535          | 0.6170   | 0.5828    | 0.8603 | 0.6949 | 0.6135 |
-| No log        | 3.0   | 402  | 0.6240          | 0.6477   | 0.6343    | 0.7206 | 0.6747 | 0.6467 |
+| No log        | 1.0   | 134  | 0.5572          | 0.7211   | 0.6647    | 0.8729 | 0.7547 | 0.7236 |
+| No log        | 2.0   | 268  | 0.5413          | 0.7323   | 0.7230    | 0.7381 | 0.7305 | 0.7324 |
+| No log        | 3.0   | 402  | 0.5740          | 0.7360   | 0.7118    | 0.7780 | 0.7434 | 0.7367 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b26b8f57cab58311629d32eb583abecae58ca7a87b33f41ba0b0aa96b9f0277b
+oid sha256:55f62100dcdf969736299e404d75249dca97e52922395a29b525f8dc37ac927f
 size 1421495416