End of training

README.md

@@ -3,22 +3,28 @@ license: mit
 base_model: roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
-- name: Cautiousness_continuous
+- name: Openn_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. -->
 
-# Cautiousness_continuous
+# Openn_binary
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0643
-- Rmse: 0.2535
-- Mae: 0.2055
-- Corr: 0.3439
+- Loss: 0.6054
+- Accuracy: 0.6847
+- Precision: 0.6788
+- Recall: 0.6417
+- F1: 0.6597
 
 ## Model description
 
@@ -47,10 +53,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rmse   | Mae    | Corr   |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
-| No log        | 1.0   | 268  | 0.0622          | 0.2494 | 0.2047 | 0.3288 |
-| 0.0729        | 2.0   | 536  | 0.0643          | 0.2535 | 0.2055 | 0.3439 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 130  | 0.6303          | 0.6403   | 0.7093    | 0.4150 | 0.5236 |
+| No log        | 2.0   | 260  | 0.6054          | 0.6847   | 0.6788    | 0.6417 | 0.6597 |
 
 
 ### Framework versions