End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Depression_binary
+- name: Self-consciousness_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. -->
 
-# Depression_binary
+# Self-consciousness_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: 0.5764
-- Accuracy: 0.7696
-- Precision: 0.7585
-- Recall: 0.7716
-- F1: 0.7650
-- Auc: 0.7696
+- Loss: 0.6731
+- Accuracy: 0.6791
+- Precision: 0.6850
+- Recall: 0.6998
+- F1: 0.6923
+- Auc: 0.6784
 
 ## 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  | 0.5236          | 0.7397   | 0.8056    | 0.6123 | 0.6957 | 0.7363 |
-| No log        | 2.0   | 268  | 0.5462          | 0.7565   | 0.7802    | 0.6948 | 0.7350 | 0.7548 |
-| No log        | 3.0   | 402  | 0.5764          | 0.7696   | 0.7585    | 0.7716 | 0.7650 | 0.7696 |
+| No log        | 1.0   | 134  | 0.6490          | 0.6101   | 0.6945    | 0.4358 | 0.5356 | 0.6158 |
+| No log        | 2.0   | 268  | 0.6488          | 0.6502   | 0.6996    | 0.5642 | 0.6246 | 0.6530 |
+| No log        | 3.0   | 402  | 0.6731          | 0.6791   | 0.6850    | 0.6998 | 0.6923 | 0.6784 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:56a6011452f7f91a86d3486297c67a822a0add5fca279e873f585e7bd452a825
+oid sha256:71ef2b0df8d79f19f2244acea634aadb75667cca590d228efd0837da9fc6f036
 size 1421495416