Training in progress, epoch 1

README.md

@@ -10,22 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: FairnessReciprocity_binary
+- name: HarmCare_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. -->
 
-# FairnessReciprocity_binary
+# HarmCare_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: 0.6999
-- Accuracy: 0.5972
-- Precision: 0.5651
-- Recall: 0.6674
-- F1: 0.6120
+- Loss: 0.6675
+- Accuracy: 0.6433
+- Precision: 0.6315
+- Recall: 0.7438
+- F1: 0.6831
+- Auc: 0.6398
 
 ## Model description
 
@@ -54,11 +55,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 125  | 0.6727          | 0.5782   | 0.5754    | 0.4337 | 0.4946 |
-| No log        | 2.0   | 250  | 0.6749          | 0.5912   | 0.5579    | 0.68   | 0.6129 |
-| No log        | 3.0   | 375  | 0.6999          | 0.5972   | 0.5651    | 0.6674 | 0.6120 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Auc    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
+| No log        | 1.0   | 127  | 0.6639          | 0.6087   | 0.6074    | 0.6864 | 0.6445 | 0.6060 |
+| No log        | 2.0   | 254  | 0.6713          | 0.5988   | 0.5723    | 0.8853 | 0.6952 | 0.5889 |
+| No log        | 3.0   | 381  | 0.6675          | 0.6433   | 0.6315    | 0.7438 | 0.6831 | 0.6398 |
 
 
 ### Framework versions

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:95af91db1033645e696dcb99036959eff59457d0f7c79941a5d67523536cfcf3
+oid sha256:bf1c8db35e834b608e87a3c5bc8838887046ae04d2e896ceeaa6304e59ee0715
 size 4719