End of training

README.md

@@ -10,22 +10,22 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Imagination_binary
+- name: Artistic_Interests_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. -->
 
-# Imagination_binary
+# Artistic_Interests_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: 0.6934
-- Accuracy: 0.4851
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
+- Loss: 0.6671
+- Accuracy: 0.6297
+- Precision: 0.6201
+- Recall: 0.6516
+- F1: 0.6354
 
 ## Model description
 
@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
-| No log        | 1.0   | 134  | 0.6955          | 0.4851   | 0.0       | 0.0    | 0.0 |
-| No log        | 2.0   | 268  | 0.6933          | 0.4851   | 0.0       | 0.0    | 0.0 |
-| No log        | 3.0   | 402  | 0.6934          | 0.4851   | 0.0       | 0.0    | 0.0 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 134  | 0.6475          | 0.6306   | 0.6321    | 0.6083 | 0.6200 |
+| No log        | 2.0   | 268  | 0.6681          | 0.6213   | 0.5960    | 0.7307 | 0.6565 |
+| No log        | 3.0   | 402  | 0.6671          | 0.6297   | 0.6201    | 0.6516 | 0.6354 |
 
 
 ### Framework versions