update model card README.md

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9546
-- Accuracy: 0.5788
-- F1: [0.62939855 0.4656164  0.50839092 0.5594581  0.73356926]
-- Precision: [0.62705122 0.47043962 0.49258728 0.58103179 0.7255    ]
-- Recall: [0.63176353 0.46089109 0.52524222 0.53942912 0.74182004]
+- Loss: 0.9526
+- Accuracy: 0.5793
+- F1: [0.63065766 0.46287992 0.50875894 0.55936944 0.73581605]
+- Precision: [0.62955567 0.46589769 0.49282983 0.58949625 0.7198044 ]
+- Recall: [0.63176353 0.45990099 0.52575217 0.53217223 0.75255624]
 
 ## Model description
 
@@ -55,12 +55,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1                                                       | Precision                                                | Recall                                                   |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------------------------------------------------:|:--------------------------------------------------------:|:--------------------------------------------------------:|
-| 0.9611        | 1.0   | 2813 | 0.9546          | 0.5788   | [0.62939855 0.4656164  0.50839092 0.5594581  0.73356926] | [0.62705122 0.47043962 0.49258728 0.58103179 0.7255    ] | [0.63176353 0.46089109 0.52524222 0.53942912 0.74182004] |
+| 0.9618        | 1.0   | 2813 | 0.9526          | 0.5793   | [0.63065766 0.46287992 0.50875894 0.55936944 0.73581605] | [0.62955567 0.46589769 0.49282983 0.58949625 0.7198044 ] | [0.63176353 0.45990099 0.52575217 0.53217223 0.75255624] |
 
 
 ### Framework versions
 
 - Transformers 4.28.1
-- Pytorch 2.0.0+cu117
+- Pytorch 1.13.1+cu117
 - Datasets 2.12.0
 - Tokenizers 0.13.3