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: 0.6822
-- Accuracy: 0.6625
-- Precision: 0.6198
-- Recall: 0.6383
-- F1: 0.6289
+- Loss: 0.5776
+- Accuracy: 0.7373
+- Precision: 0.6261
+- Recall: 0.7
+- F1: 0.6610
 
 ## 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   | 131  | 0.6327          | 0.6454   | 0.6034    | 0.6085 | 0.6059 |
-| No log        | 2.0   | 262  | 0.6317          | 0.6568   | 0.6151    | 0.6255 | 0.6203 |
-| No log        | 3.0   | 393  | 0.6822          | 0.6625   | 0.6198    | 0.6383 | 0.6289 |
+| No log        | 1.0   | 134  | 0.5404          | 0.7420   | 0.6936    | 0.5282 | 0.5997 |
+| No log        | 2.0   | 268  | 0.5077          | 0.7430   | 0.7458    | 0.4513 | 0.5623 |
+| No log        | 3.0   | 402  | 0.5776          | 0.7373   | 0.6261    | 0.7    | 0.6610 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1da226577c67d86802a517358313aecfb1086c22b1b4a17f90645d1b26d7b493
+oid sha256:cfc4abcd307d106ed9e30e23c0f82c223131bc45472a6b635b559e21b301fbd9
 size 1421495416