End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Vulnerability_binary
+- name: Friendliness_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. -->
 
-# Vulnerability_binary
+# Friendliness_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: 0.6996
-- Accuracy: 0.6903
-- Precision: 0.6976
-- Recall: 0.6553
-- F1: 0.6758
-- Auc: 0.6898
+- Loss: 0.6491
+- Accuracy: 0.6716
+- Precision: 0.6855
+- Recall: 0.6781
+- F1: 0.6817
+- Auc: 0.6714
 
 ## 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  | 0.5957          | 0.6866   | 0.74      | 0.5606 | 0.6379 | 0.6847 |
-| No log        | 2.0   | 268  | 0.6576          | 0.6539   | 0.7508    | 0.4451 | 0.5589 | 0.6508 |
-| No log        | 3.0   | 402  | 0.6996          | 0.6903   | 0.6976    | 0.6553 | 0.6758 | 0.6898 |
+| No log        | 1.0   | 134  | 0.6487          | 0.6371   | 0.7420    | 0.4604 | 0.5683 | 0.6440 |
+| No log        | 2.0   | 268  | 0.6111          | 0.6707   | 0.6550    | 0.7716 | 0.7085 | 0.6668 |
+| No log        | 3.0   | 402  | 0.6491          | 0.6716   | 0.6855    | 0.6781 | 0.6817 | 0.6714 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3bcfc9e1e268c1f884be13656a7d5bc52a9e06a623c7b42f2dfdfa09cb4b0e8a
+oid sha256:585571ecda22364bbfaf4fe2b245d1ece51575d054fa7a4ac488abaa04e5c8ad
 size 1421495416