End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Agree_binary
+- name: Neuro_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. -->
 
-# Agree_binary
+# Neuro_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: 0.5758
-- Accuracy: 0.7577
-- Precision: 0.7504
-- Recall: 0.7887
-- F1: 0.7691
-- Auc: 0.7569
+- Loss: 0.5602
+- Accuracy: 0.7418
+- Precision: 0.7431
+- Recall: 0.7472
+- F1: 0.7452
+- Auc: 0.7418
 
 ## 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  | 0.4915          | 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 |
+| No log        | 1.0   | 134  | 0.5239          | 0.7428   | 0.7367    | 0.7638 | 0.75   | 0.7426 |
+| No log        | 2.0   | 268  | 0.5155          | 0.7428   | 0.7454    | 0.7454 | 0.7454 | 0.7428 |
+| No log        | 3.0   | 402  | 0.5602          | 0.7418   | 0.7431    | 0.7472 | 0.7452 | 0.7418 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9442493507bffb00aac2af56c8153d15e30d4522e8b30ce71a56b9ac9b0bd40b
+oid sha256:a613257e91279eda03b9732565f1562a873bd243a5ef79a0173f5eacec8b67e3
 size 1421495416