End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Extra_binary
+- name: Agree_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. -->
 
-# Extra_binary
+# Agree_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: 0.6522
-- Accuracy: 0.6962
-- Precision: 0.6852
-- Recall: 0.6879
-- F1: 0.6865
-- Auc: 0.6959
+- Loss: 0.5758
+- Accuracy: 0.7577
+- Precision: 0.7504
+- Recall: 0.7887
+- F1: 0.7691
+- Auc: 0.7569
 
 ## 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  | 0.6402          | 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 |
+| No log        | 1.0   | 134  | 0.4915          | 0.7689   | 0.7911    | 0.7450 | 0.7674 | 0.7694 |
+| No log        | 2.0   | 268  | 0.4766          | 0.7698   | 0.7586    | 0.8069 | 0.7820 | 0.7689 |
+| No log        | 3.0   | 402  | 0.5758          | 0.7577   | 0.7504    | 0.7887 | 0.7691 | 0.7569 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:26b953561bf8e99230b97fbbabc87fa7db1098965d44e33c0dfc6faa520bf7bf
+oid sha256:1e58ae26c70be7ef4ffef862a0b8ec6ca7587ccef1e5e09ba953a353cdcfe589
 size 1421495416