End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Artistic_Interests_binary
+- name: Emotionality_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. -->
 
-# Artistic_Interests_binary
+# Emotionality_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: 0.6671
-- Accuracy: 0.6297
-- Precision: 0.6201
-- Recall: 0.6516
-- F1: 0.6354
-- Auc: 0.6299
+- Loss: 0.6728
+- Accuracy: 0.6474
+- Precision: 0.6718
+- Recall: 0.6234
+- F1: 0.6467
+- Auc: 0.6483
 
 ## 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  | 0.6475          | 0.6306   | 0.6321    | 0.6083 | 0.6200 | 0.6304 |
-| No log        | 2.0   | 268  | 0.6681          | 0.6213   | 0.5960    | 0.7307 | 0.6565 | 0.6223 |
-| No log        | 3.0   | 402  | 0.6671          | 0.6297   | 0.6201    | 0.6516 | 0.6354 | 0.6299 |
+| No log        | 1.0   | 134  | 0.6484          | 0.625    | 0.6055    | 0.7910 | 0.6859 | 0.6189 |
+| No log        | 2.0   | 268  | 0.6215          | 0.6511   | 0.6881    | 0.5964 | 0.6390 | 0.6531 |
+| No log        | 3.0   | 402  | 0.6728          | 0.6474   | 0.6718    | 0.6234 | 0.6467 | 0.6483 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f45a4381da27dae02964ba6e70aef9d54326f0b518be1d9e6949967901122f05
+oid sha256:7a4cbc9969f54bc7eade22ebec4478d8534dc66f39bf617af73894b0db56ec2c
 size 1421495416