End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: narcissism_binary
+- name: auth_scale_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. -->
 
-# narcissism_binary
+# auth_scale_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: 0.6067
-- Accuracy: 0.7073
-- Precision: 0.7277
-- Recall: 0.6318
-- F1: 0.6763
-- Auc: 0.7050
+- Loss: 0.6696
+- Accuracy: 0.7269
+- Precision: 0.7201
+- Recall: 0.7350
+- F1: 0.7274
+- Auc: 0.7270
 
 ## 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  | 0.6530          | 0.6407   | 0.5876    | 0.8643 | 0.6996 | 0.6476 |
-| No log        | 2.0   | 268  | 0.5541          | 0.7148   | 0.7442    | 0.6260 | 0.68   | 0.7121 |
-| No log        | 3.0   | 402  | 0.6067          | 0.7073   | 0.7277    | 0.6318 | 0.6763 | 0.7050 |
+| No log        | 1.0   | 135  | 0.5686          | 0.7185   | 0.6742    | 0.8365 | 0.7466 | 0.7195 |
+| No log        | 2.0   | 270  | 0.6582          | 0.6887   | 0.7845    | 0.5132 | 0.6205 | 0.6873 |
+| No log        | 3.0   | 405  | 0.6696          | 0.7269   | 0.7201    | 0.7350 | 0.7274 | 0.7270 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9cd0ae6da6e56a415bbfac5a3bf44d0c1a1f7a0c8daddf5d46548f31ede9e99a
+oid sha256:1a37ecedcd6599c74810cd1768c0806465dcf7d701b9f7981d1741de2b4e21df
 size 1421495416