End of training

README.md

@@ -10,22 +10,22 @@ 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-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5930
-- Accuracy: 0.6893
-- Precision: 0.7057
-- Recall: 0.5057
-- F1: 0.5892
+- Loss: 0.4784
+- Accuracy: 0.7714
+- Precision: 0.3433
+- Recall: 0.1036
+- F1: 0.1592
 
 ## Model description
 
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 126  | 0.6328          | 0.6833   | 0.8407    | 0.3469 | 0.4912 |
-| No log        | 2.0   | 252  | 0.5930          | 0.6893   | 0.7057    | 0.5057 | 0.5892 |
+| No log        | 1.0   | 133  | 0.4853          | 0.7912   | 0.0       | 0.0    | 0.0    |
+| No log        | 2.0   | 266  | 0.4784          | 0.7714   | 0.3433    | 0.1036 | 0.1592 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dbe1cd17e749a385d1cd086bb2d1707981e6f14aa9ea844b231b546118e4c8ad
+oid sha256:3f96fc93681ab1c1630e8ba4da3d1932e33f6cd9d99399e82b5e2c49a7cbfe91
 size 498612824