End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Altruism_binary
+- name: Cooperation_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. -->
 
-# Altruism_binary
+# Cooperation_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: 0.6612
-- Accuracy: 0.6791
-- Precision: 0.6544
-- Recall: 0.7410
-- F1: 0.6950
-- Auc: 0.6799
+- Loss: 0.5564
+- Accuracy: 0.7211
+- Precision: 0.7130
+- Recall: 0.7278
+- F1: 0.7203
+- Auc: 0.7212
 
 ## 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  | 0.6032          | 0.6716   | 0.6550    | 0.7070 | 0.68   | 0.6721 |
-| No log        | 2.0   | 268  | 0.6141          | 0.6660   | 0.6192    | 0.8393 | 0.7127 | 0.6683 |
-| No log        | 3.0   | 402  | 0.6612          | 0.6791   | 0.6544    | 0.7410 | 0.6950 | 0.6799 |
+| No log        | 1.0   | 134  | 0.6573          | 0.5961   | 0.5574    | 0.8809 | 0.6828 | 0.5998 |
+| No log        | 2.0   | 268  | 0.5831          | 0.7090   | 0.7364    | 0.6389 | 0.6842 | 0.7081 |
+| No log        | 3.0   | 402  | 0.5564          | 0.7211   | 0.7130    | 0.7278 | 0.7203 | 0.7212 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9497aa08c27faebeae63a97598e07ba820466d6d739e1d1050c674d1a6bf49b2
+oid sha256:7e24be47eacbdd6d3b676516c2573b300b732ee4faeb738caa6ed6d742f27814
 size 1421495416