End of training

README.md

@@ -10,22 +10,22 @@ 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: 0.5568
-- Accuracy: 0.7523
-- Precision: 0.7235
-- Recall: 0.7924
-- F1: 0.7564
+- Loss: 0.5902
+- Accuracy: 0.7358
+- Precision: 0.7767
+- Recall: 0.7030
+- F1: 0.7380
 
 ## 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   | 136  | 0.5167          | 0.7606   | 0.7309    | 0.8019 | 0.7648 |
-| No log        | 2.0   | 272  | 0.4849          | 0.7662   | 0.7429    | 0.7924 | 0.7668 |
-| No log        | 3.0   | 408  | 0.5568          | 0.7523   | 0.7235    | 0.7924 | 0.7564 |
+| No log        | 1.0   | 135  | 0.5537          | 0.7247   | 0.7349    | 0.7504 | 0.7426 |
+| No log        | 2.0   | 270  | 0.5325          | 0.7312   | 0.8070    | 0.6467 | 0.7180 |
+| No log        | 3.0   | 405  | 0.5902          | 0.7358   | 0.7767    | 0.7030 | 0.7380 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:13bc397472bc7472f41e12633236d2a80aeaeb79689e9fe453d7e133201fbb5c
+oid sha256:280085b5e1c651ae1e985dd855189e07fe517f91e44545fe2557cf4eedd338d1
 size 1421495416