End of training

README.md

@@ -10,22 +10,22 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Anger_binary
+- name: Depression_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. -->
 
-# Anger_binary
+# Depression_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: 0.7098
-- Accuracy: 0.6474
-- Precision: 0.6685
-- Recall: 0.6398
-- F1: 0.6538
+- Loss: 0.5764
+- Accuracy: 0.7696
+- Precision: 0.7585
+- Recall: 0.7716
+- F1: 0.7650
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 134  | 0.6285          | 0.6399   | 0.6458    | 0.6828 | 0.6638 |
-| No log        | 2.0   | 268  | 0.6353          | 0.6586   | 0.6798    | 0.6505 | 0.6648 |
-| No log        | 3.0   | 402  | 0.7098          | 0.6474   | 0.6685    | 0.6398 | 0.6538 |
+| 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 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f06ca5aead952f9eb42496a96239f1cb79778a5d8cd6d226a8203de1a1d4e978
+oid sha256:4c4729cc4fb30297f3ec68b956bd159dec52712ba30b9b8cae397f99fa3a046a
 size 1421495416