End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Consc_binary
+- name: Extra_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. -->
 
-# Consc_binary
+# Extra_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: 0.6987
-- Accuracy: 0.7363
-- Precision: 0.7160
-- Recall: 0.7790
-- F1: 0.7462
-- Auc: 0.7365
+- Loss: 0.6522
+- Accuracy: 0.6962
+- Precision: 0.6852
+- Recall: 0.6879
+- F1: 0.6865
+- Auc: 0.6959
 
 ## 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  | 0.5583          | 0.7251   | 0.6937    | 0.8015 | 0.7437 | 0.7254 |
-| No log        | 2.0   | 268  | 0.6184          | 0.7409   | 0.7199    | 0.7846 | 0.7509 | 0.7411 |
-| No log        | 3.0   | 402  | 0.6987          | 0.7363   | 0.7160    | 0.7790 | 0.7462 | 0.7365 |
+| No log        | 1.0   | 134  | 0.6402          | 0.6533   | 0.6073    | 0.8015 | 0.6910 | 0.6580 |
+| No log        | 2.0   | 268  | 0.6021          | 0.6729   | 0.6377    | 0.7495 | 0.6891 | 0.6753 |
+| No log        | 3.0   | 402  | 0.6522          | 0.6962   | 0.6852    | 0.6879 | 0.6865 | 0.6959 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:552887daf0c41aaf3035ed6876b4d7b55e69b5ed2b42eafa530ff24cfef01318
+oid sha256:9341d14d3109997ecd8321cbe9f3671b1ab75d5e0f7d3ab5d0552ca7f28c02b7
 size 1421495416