Model save

README.md

@@ -19,14 +19,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [yiyanghkust/finbert-tone](https://huggingface.co/yiyanghkust/finbert-tone) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0242
-- Accuracy: 1.0
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-- F1 Macro: 1.0
-- Precision Macro: 1.0
-- Recall Macro: 1.0
+- Loss: 6.3706
+- Accuracy: 0.3333
+- Precision: 0.4444
+- Recall: 0.3333
+- F1: 0.3556
+- F1 Macro: 0.3556
+- Precision Macro: 0.4444
+- Recall Macro: 0.3333
 
 ## Model description
 
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  | F1 Macro | Precision Macro | Recall Macro |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|:--------:|:---------------:|:------------:|
-| No log        | 1.0   | 3    | 0.0131          | 1.0      | 1.0       | 1.0    | 1.0 | 1.0      | 1.0             | 1.0          |
-| No log        | 2.0   | 6    | 0.0211          | 1.0      | 1.0       | 1.0    | 1.0 | 1.0      | 1.0             | 1.0          |
-| No log        | 3.0   | 9    | 0.0242          | 1.0      | 1.0       | 1.0    | 1.0 | 1.0      | 1.0             | 1.0          |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | F1 Macro | Precision Macro | Recall Macro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:--------:|:---------------:|:------------:|
+| No log        | 1.0   | 3    | 8.9810          | 0.3333   | 0.4444    | 0.3333 | 0.3556 | 0.3556   | 0.4444          | 0.3333       |
+| No log        | 2.0   | 6    | 7.1529          | 0.3333   | 0.4444    | 0.3333 | 0.3556 | 0.3556   | 0.4444          | 0.3333       |
+| No log        | 3.0   | 9    | 6.3706          | 0.3333   | 0.4444    | 0.3333 | 0.3556 | 0.3556   | 0.4444          | 0.3333       |
 
 
 ### Framework versions

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