End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Self_Discipline_binary
+- name: Cautiousness_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. -->
 
-# Self_Discipline_binary
+# Cautiousness_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: 0.6421
-- Accuracy: 0.6856
-- Precision: 0.6610
-- Recall: 0.7424
-- F1: 0.6994
-- Auc: 0.6865
+- Loss: 0.5918
+- Accuracy: 0.6996
+- Precision: 0.7176
+- Recall: 0.6836
+- F1: 0.7002
+- Auc: 0.7001
 
 ## 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  | 0.6211          | 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 |
+| No log        | 1.0   | 134  | 0.6005          | 0.6698   | 0.7333    | 0.56   | 0.6351 | 0.6727 |
+| No log        | 2.0   | 268  | 0.5905          | 0.6922   | 0.6780    | 0.7618 | 0.7175 | 0.6903 |
+| No log        | 3.0   | 402  | 0.5918          | 0.6996   | 0.7176    | 0.6836 | 0.7002 | 0.7001 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:46129f8ff26c68f9f45b2b364899eb9e4aa1a8e785090846cd0807d022e79547
+oid sha256:31eb1b3388422b27030591d9392feeb9afc03b392af4e42c7081263636d6a430
 size 1421495416