End of training

README.md

@@ -10,22 +10,22 @@ 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: 0.5080
-- Accuracy: 0.7573
-- Precision: 0.428
-- Recall: 0.4820
-- F1: 0.4534
+- Loss: 0.6385
+- Accuracy: 0.6924
+- Precision: 0.7494
+- Recall: 0.5700
+- F1: 0.6475
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 133  | 0.4708          | 0.7912   | 0.0       | 0.0    | 0.0    |
-| No log        | 2.0   | 266  | 0.4662          | 0.7940   | 1.0       | 0.0135 | 0.0267 |
-| No log        | 3.0   | 399  | 0.5080          | 0.7573   | 0.428     | 0.4820 | 0.4534 |
+| No log        | 1.0   | 130  | 0.6370          | 0.6345   | 0.7711    | 0.3735 | 0.5033 |
+| No log        | 2.0   | 260  | 0.6299          | 0.6519   | 0.7722    | 0.4222 | 0.5459 |
+| No log        | 3.0   | 390  | 0.6385          | 0.6924   | 0.7494    | 0.5700 | 0.6475 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:058f73ec16bdd4533e5d1cc07bc2a0578e3aaffca5034c698f8421061ab4f513
+oid sha256:f45d57b85a91557011b27bf921b7b069b1ccecf90a7b2694cb24d99ac2742c5b
 size 1421495416