End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Anxiety_binary
+- name: Anger_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. -->
 
-# Anxiety_binary
+# Anger_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: 0.5851
-- Accuracy: 0.6847
-- Precision: 0.6898
-- Recall: 0.6450
-- F1: 0.6667
-- Auc: 0.6838
+- Loss: 0.7098
+- Accuracy: 0.6474
+- Precision: 0.6685
+- Recall: 0.6398
+- F1: 0.6538
+- Auc: 0.6477
 
 ## 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  | 0.6335          | 0.6660   | 0.7139    | 0.5286 | 0.6075 | 0.6630 |
-| No log        | 2.0   | 268  | 0.6254          | 0.6735   | 0.6330    | 0.7901 | 0.7029 | 0.6761 |
-| No log        | 3.0   | 402  | 0.5851          | 0.6847   | 0.6898    | 0.6450 | 0.6667 | 0.6838 |
+| No log        | 1.0   | 134  | 0.6285          | 0.6399   | 0.6458    | 0.6828 | 0.6638 | 0.6381 |
+| No log        | 2.0   | 268  | 0.6353          | 0.6586   | 0.6798    | 0.6505 | 0.6648 | 0.6589 |
+| No log        | 3.0   | 402  | 0.7098          | 0.6474   | 0.6685    | 0.6398 | 0.6538 | 0.6477 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:948e3a4b2490ed6ae1c50b4c1b0c14b130368256fbdf84435be42e6636f4806d
+oid sha256:97eb0cc8bb395cfdac1f67f5043949d76b062870b914c8ee8cf623115091cad7
 size 1421495416