End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: auth_scale_binary
+- name: Openn_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. -->
 
-# auth_scale_binary
+# Openn_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: 0.6696
-- Accuracy: 0.7269
+- Loss: 0.6757
+- Accuracy: 0.6729
 - Precision: 0.7201
-- Recall: 0.7350
-- F1: 0.7274
-- Auc: 0.7270
+- Recall: 0.6050
+- F1: 0.6576
+- Auc: 0.6756
 
 ## 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   | 135  | 0.5686          | 0.7185   | 0.6742    | 0.8365 | 0.7466 | 0.7195 |
-| No log        | 2.0   | 270  | 0.6582          | 0.6887   | 0.7845    | 0.5132 | 0.6205 | 0.6873 |
-| No log        | 3.0   | 405  | 0.6696          | 0.7269   | 0.7201    | 0.7350 | 0.7274 | 0.7270 |
+| No log        | 1.0   | 134  | 0.6469          | 0.6440   | 0.6476    | 0.6894 | 0.6678 | 0.6422 |
+| No log        | 2.0   | 268  | 0.6340          | 0.6598   | 0.7667    | 0.4955 | 0.6020 | 0.6664 |
+| No log        | 3.0   | 402  | 0.6757          | 0.6729   | 0.7201    | 0.6050 | 0.6576 | 0.6756 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ecb59543e41a1a59a6e7770b5972e19a4f949257159eefad1549906299384b5c
+oid sha256:7558dad07e4d2e6e2b517b5c000526126a58ee442b39e65b0bfcfb709316039a
 size 1421495416