End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Morality_binary
+- name: Altruism_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. -->
 
-# Morality_binary
+# Altruism_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: 0.6646
-- Accuracy: 0.7332
-- Precision: 0.6974
-- Recall: 0.8428
-- F1: 0.7632
-- Auc: 0.7309
+- Loss: 0.6612
+- Accuracy: 0.6791
+- Precision: 0.6544
+- Recall: 0.7410
+- F1: 0.6950
+- Auc: 0.6799
 
 ## 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  | 0.5929          | 0.7127   | 0.6667    | 0.8739 | 0.7563 | 0.7093 |
-| No log        | 2.0   | 268  | 0.5509          | 0.7407   | 0.7572    | 0.7239 | 0.7402 | 0.7410 |
-| No log        | 3.0   | 402  | 0.6646          | 0.7332   | 0.6974    | 0.8428 | 0.7632 | 0.7309 |
+| 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 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:96231a2a9e6c7d8c0776bb8e9baffb125767a43bd388853fe5ce25323fa12e3f
+oid sha256:e31543b117fda0553ce168aaf9548ee774b2c623f98a04632497b105e0651e21
 size 1421495416