End of training

README.md

@@ -10,22 +10,22 @@ metrics:
 - recall
 - f1
 model-index:
-- name: PuritySanctity_binary
+- name: Anxiety_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. -->
 
-# PuritySanctity_binary
+# Anxiety_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: 0.6174
-- Accuracy: 0.6904
-- Precision: 0.6805
-- Recall: 0.7273
-- F1: 0.7031
+- Loss: 0.5851
+- Accuracy: 0.6847
+- Precision: 0.6898
+- Recall: 0.6450
+- F1: 0.6667
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 123  | 0.6316          | 0.6548   | 0.6182    | 0.8242 | 0.7065 |
-| No log        | 2.0   | 246  | 0.6060          | 0.6843   | 0.6782    | 0.7111 | 0.6943 |
-| No log        | 3.0   | 369  | 0.6174          | 0.6904   | 0.6805    | 0.7273 | 0.7031 |
+| No log        | 1.0   | 134  | 0.6335          | 0.6660   | 0.7139    | 0.5286 | 0.6075 |
+| No log        | 2.0   | 268  | 0.6254          | 0.6735   | 0.6330    | 0.7901 | 0.7029 |
+| No log        | 3.0   | 402  | 0.5851          | 0.6847   | 0.6898    | 0.6450 | 0.6667 |
 
 
 ### Framework versions