End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Dutifulness_binary
+- name: Achievement_Striving_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. -->
 
-# Dutifulness_binary
+# Achievement_Striving_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: 0.5740
-- Accuracy: 0.7360
-- Precision: 0.7118
-- Recall: 0.7780
-- F1: 0.7434
-- Auc: 0.7367
+- Loss: 0.6564
+- Accuracy: 0.6623
+- Precision: 0.6531
+- Recall: 0.7109
+- F1: 0.6808
+- Auc: 0.6617
 
 ## 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  | 0.5572          | 0.7211   | 0.6647    | 0.8729 | 0.7547 | 0.7236 |
-| No log        | 2.0   | 268  | 0.5413          | 0.7323   | 0.7230    | 0.7381 | 0.7305 | 0.7324 |
-| No log        | 3.0   | 402  | 0.5740          | 0.7360   | 0.7118    | 0.7780 | 0.7434 | 0.7367 |
+| No log        | 1.0   | 134  | 0.6189          | 0.6716   | 0.6638    | 0.7127 | 0.6874 | 0.6711 |
+| No log        | 2.0   | 268  | 0.6193          | 0.6604   | 0.6578    | 0.6869 | 0.6721 | 0.6601 |
+| No log        | 3.0   | 402  | 0.6564          | 0.6623   | 0.6531    | 0.7109 | 0.6808 | 0.6617 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:83791d6ae71b0ac8f17f4998c7b3c9e29c8e3bd99840d54a6c3b58b744705cd9
+oid sha256:4d5333b47497bbab6e7686d8f2eb2450f0079fb26e8bf7bf7e464342057a993d
 size 1421495416