End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Self-consciousness_binary
+- name: Immoderation_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. -->
 
-# Self-consciousness_binary
+# Immoderation_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: 0.6731
-- Accuracy: 0.6791
-- Precision: 0.6850
-- Recall: 0.6998
-- F1: 0.6923
-- Auc: 0.6784
+- Loss: 0.7206
+- Accuracy: 0.5942
+- Precision: 0.5984
+- Recall: 0.5545
+- F1: 0.5756
+- Auc: 0.5939
 
 ## 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  | 0.6490          | 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 |
+| No log        | 1.0   | 134  | 0.6935          | 0.5243   | 0.7895    | 0.0564 | 0.1053 | 0.5208 |
+| No log        | 2.0   | 268  | 0.6717          | 0.5979   | 0.6188    | 0.4944 | 0.5496 | 0.5972 |
+| No log        | 3.0   | 402  | 0.7206          | 0.5942   | 0.5984    | 0.5545 | 0.5756 | 0.5939 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:142ec9d3738a0c00b51afd10a521e817e58fe72d4c957b35adc55cbb7f70f6e1
+oid sha256:b4471162a1863dc1c05d4b0bfefed92946cce6e4ea111af2c9fc03ac0da70321
 size 1421495416