End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Friendliness_binary
+- name: Gregariousness_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. -->
 
-# Friendliness_binary
+# Gregariousness_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: 0.6491
-- Accuracy: 0.6716
-- Precision: 0.6855
-- Recall: 0.6781
-- F1: 0.6817
-- Auc: 0.6714
+- Loss: 0.6050
+- Accuracy: 0.6794
+- Precision: 0.6869
+- Recall: 0.5980
+- F1: 0.6394
+- Auc: 0.6756
 
 ## 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  | 0.6487          | 0.6371   | 0.7420    | 0.4604 | 0.5683 | 0.6440 |
-| No log        | 2.0   | 268  | 0.6111          | 0.6707   | 0.6550    | 0.7716 | 0.7085 | 0.6668 |
-| No log        | 3.0   | 402  | 0.6491          | 0.6716   | 0.6855    | 0.6781 | 0.6817 | 0.6714 |
+| 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 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4f9d3ec0453d36bf2d23e38709d8310afd551bccf737aad715da7c00ae774f0
+oid sha256:fd4b9db33dbca34789cb9dd0391adcfc8e0aa3ee230deade8df52f5365d5e31a
 size 1421495416