update model card README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: mit
+base_model: microsoft/MiniLM-L12-H384-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -16,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7772
-- F1: 0.6668
+- Loss: 0.8368
+- F1: 0.6564
 
 ## Model description
 
@@ -48,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.9021        | 0.5   | 500  | 0.8769          | 0.6405 |
-| 0.8309        | 1.0   | 1000 | 0.8563          | 0.6533 |
-| 0.7813        | 1.5   | 1500 | 0.8374          | 0.6543 |
-| 0.7747        | 2.01  | 2000 | 0.7932          | 0.6565 |
-| 0.7376        | 2.51  | 2500 | 0.7772          | 0.6668 |
+| 0.9048        | 0.5   | 500  | 0.8963          | 0.6318 |
+| 0.8732        | 1.0   | 1000 | 0.8611          | 0.6437 |
+| 0.8592        | 1.5   | 1500 | 0.9093          | 0.6486 |
+| 0.8314        | 2.01  | 2000 | 0.8242          | 0.6542 |
+| 0.8114        | 2.51  | 2500 | 0.8368          | 0.6564 |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
+- Transformers 4.31.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.13.1
 - Tokenizers 0.13.3