update model card README.md

README.md

@@ -1,4 +1,5 @@
 ---
+base_model: Tanor/BERTicSENTNEG4
 tags:
 - generated_from_trainer
 metrics:
@@ -15,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Tanor/BERTicSENTNEG4](https://huggingface.co/Tanor/BERTicSENTNEG4) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0501
-- F1: 0.6
+- Loss: 0.0473
+- F1: 0.6667
 
 ## Model description
 
@@ -49,18 +50,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 53   | 0.0846          | 0.0    |
-| No log        | 2.0   | 106  | 0.0477          | 0.1538 |
-| No log        | 3.0   | 159  | 0.0438          | 0.6087 |
-| No log        | 4.0   | 212  | 0.0421          | 0.5778 |
-| No log        | 5.0   | 265  | 0.0442          | 0.5778 |
-| No log        | 6.0   | 318  | 0.0477          | 0.5909 |
-| No log        | 7.0   | 371  | 0.0501          | 0.6    |
+| No log        | 0.98  | 47   | 0.0321          | 0.7727 |
+| No log        | 1.99  | 95   | 0.0309          | 0.6667 |
+| No log        | 2.99  | 143  | 0.0293          | 0.6809 |
+| No log        | 4.0   | 191  | 0.0405          | 0.6429 |
+| No log        | 4.98  | 238  | 0.0366          | 0.7442 |
+| No log        | 5.99  | 286  | 0.0473          | 0.6667 |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
-- Pytorch 2.0.1
-- Datasets 2.13.1
+- Transformers 4.31.0
+- Pytorch 2.1.0.dev20230801
+- Datasets 2.14.2
 - Tokenizers 0.13.3