End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Gregariousness_binary
+- name: Assertiveness_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. -->
 
-# Gregariousness_binary
+# Assertiveness_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: 0.6050
-- Accuracy: 0.6794
-- Precision: 0.6869
-- Recall: 0.5980
-- F1: 0.6394
-- Auc: 0.6756
+- Loss: 0.7299
+- Accuracy: 0.6048
+- Precision: 0.6210
+- Recall: 0.5662
+- F1: 0.5923
+- Auc: 0.6054
 
 ## 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  | 0.6922          | 0.4753   | 0.4753    | 1.0    | 0.6443 | 0.5    |
-| No log        | 2.0   | 268  | 0.6288          | 0.6207   | 0.7696    | 0.2882 | 0.4194 | 0.6050 |
-| No log        | 3.0   | 402  | 0.6050          | 0.6794   | 0.6869    | 0.5980 | 0.6394 | 0.6756 |
+| No log        | 1.0   | 134  | 0.6743          | 0.5797   | 0.5928    | 0.5460 | 0.5684 | 0.5802 |
+| No log        | 2.0   | 268  | 0.6699          | 0.5722   | 0.6177    | 0.4099 | 0.4928 | 0.5745 |
+| No log        | 3.0   | 402  | 0.7299          | 0.6048   | 0.6210    | 0.5662 | 0.5923 | 0.6054 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6c4b0b246e98396ce751d0d360500dddc1bfc1f8d71b9bd1ce172e057609c393
+oid sha256:bf79f7a27feaf7478f7c7c8207c3461e4c57b43f2692036df4efc691cbc6031e
 size 1421495416