Training in progress, epoch 1

README.md

@@ -10,22 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Depression_binary
+- name: Anger_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. -->
 
-# Depression_binary
+# Anger_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: 0.5764
-- Accuracy: 0.7696
-- Precision: 0.7585
-- Recall: 0.7716
-- F1: 0.7650
+- Loss: 0.7098
+- Accuracy: 0.6474
+- Precision: 0.6685
+- Recall: 0.6398
+- F1: 0.6538
+- Auc: 0.6477
 
 ## 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   | 134  | 0.5236          | 0.7397   | 0.8056    | 0.6123 | 0.6957 |
-| No log        | 2.0   | 268  | 0.5462          | 0.7565   | 0.7802    | 0.6948 | 0.7350 |
-| No log        | 3.0   | 402  | 0.5764          | 0.7696   | 0.7585    | 0.7716 | 0.7650 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Auc    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
+| No log        | 1.0   | 134  | 0.6285          | 0.6399   | 0.6458    | 0.6828 | 0.6638 | 0.6381 |
+| No log        | 2.0   | 268  | 0.6353          | 0.6586   | 0.6798    | 0.6505 | 0.6648 | 0.6589 |
+| No log        | 3.0   | 402  | 0.7098          | 0.6474   | 0.6685    | 0.6398 | 0.6538 | 0.6477 |
 
 
 ### Framework versions

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c40a5af4ae507b4c71acc94e43dc5a90dbdc464db1e7aca0edf23ecfdffcfc58
+oid sha256:6ffa1cec4bce48ebf3dd9069b6a2322fa1a94926c8d0352fac1a3969c91f793c
 size 4719