End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Achievement_Striving_binary
+- name: Self_Discipline_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. -->
 
-# Achievement_Striving_binary
+# Self_Discipline_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: 0.6564
-- Accuracy: 0.6623
-- Precision: 0.6531
-- Recall: 0.7109
-- F1: 0.6808
-- Auc: 0.6617
+- Loss: 0.6421
+- Accuracy: 0.6856
+- Precision: 0.6610
+- Recall: 0.7424
+- F1: 0.6994
+- Auc: 0.6865
 
 ## 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  | 0.6189          | 0.6716   | 0.6638    | 0.7127 | 0.6874 | 0.6711 |
-| No log        | 2.0   | 268  | 0.6193          | 0.6604   | 0.6578    | 0.6869 | 0.6721 | 0.6601 |
-| No log        | 3.0   | 402  | 0.6564          | 0.6623   | 0.6531    | 0.7109 | 0.6808 | 0.6617 |
+| No log        | 1.0   | 134  | 0.6211          | 0.6810   | 0.6775    | 0.6723 | 0.6749 | 0.6808 |
+| No log        | 2.0   | 268  | 0.6428          | 0.6632   | 0.6205    | 0.8144 | 0.7043 | 0.6655 |
+| No log        | 3.0   | 402  | 0.6421          | 0.6856   | 0.6610    | 0.7424 | 0.6994 | 0.6865 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:55af61e27ba16fb4be9434c1715b4f30302ad6ce1304b25586a2d7d192d45504
+oid sha256:8e39afadb956f6ba48ee0c227923e40b63302f91af7b0deafa1ce9b3399acae3
 size 1421495416