End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: machiavellianism_binary
+- name: psychopathy_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. -->
 
-# machiavellianism_binary
+# psychopathy_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: 0.6395
-- Accuracy: 0.6857
-- Precision: 0.6961
-- Recall: 0.6445
-- F1: 0.6693
-- Auc: 0.6852
+- Loss: 0.5940
+- Accuracy: 0.7207
+- Precision: 0.7847
+- Recall: 0.6232
+- F1: 0.6947
+- Auc: 0.7227
 
 ## 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  | 0.6680          | 0.6388   | 0.9075    | 0.2985 | 0.4492 | 0.6344 |
-| No log        | 2.0   | 268  | 0.5901          | 0.6867   | 0.7963    | 0.4905 | 0.6071 | 0.6841 |
-| No log        | 3.0   | 402  | 0.6395          | 0.6857   | 0.6961    | 0.6445 | 0.6693 | 0.6852 |
+| No log        | 1.0   | 134  | 0.6312          | 0.6317   | 0.8995    | 0.3125 | 0.4638 | 0.6381 |
+| No log        | 2.0   | 268  | 0.5610          | 0.7001   | 0.7074    | 0.7022 | 0.7048 | 0.7001 |
+| No log        | 3.0   | 402  | 0.5940          | 0.7207   | 0.7847    | 0.6232 | 0.6947 | 0.7227 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dc6bb884b353844af5b835d91ac6c2c62b27061831594cc430f781c117af3689
+oid sha256:4e62253e5f8a81b26025d4eb498f27a9f8e49d86e265bfb4e8cb2ac55c5f6763
 size 1421495416