update model card README.md

README.md

@@ -1,6 +1,5 @@
 ---
 license: apache-2.0
-base_model: microsoft/resnet-101
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # resnet-101-finetuned-CivilEng11k
 
-This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Accuracy: 0.0
+- Loss: 0.5490
+- Accuracy: 0.8542
 
 ## Model description
 
@@ -52,20 +51,20 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.81  | 3    | nan             | 0.0      |
-| No log        | 1.89  | 7    | nan             | 0.0      |
-| 0.0           | 2.97  | 11   | nan             | 0.0      |
-| 0.0           | 3.78  | 14   | nan             | 0.0      |
-| 0.0           | 4.86  | 18   | nan             | 0.0      |
-| 0.0           | 5.95  | 22   | nan             | 0.0      |
-| 0.0           | 6.76  | 25   | nan             | 0.0      |
-| 0.0           | 7.84  | 29   | nan             | 0.0      |
-| 0.0           | 8.11  | 30   | nan             | 0.0      |
+| No log        | 0.81  | 3    | 1.0724          | 0.5729   |
+| No log        | 1.89  | 7    | 0.9717          | 0.6542   |
+| 1.0293        | 2.97  | 11   | 0.8594          | 0.6678   |
+| 1.0293        | 3.78  | 14   | 0.7830          | 0.7017   |
+| 1.0293        | 4.86  | 18   | 0.6764          | 0.7593   |
+| 0.78          | 5.95  | 22   | 0.6072          | 0.7831   |
+| 0.78          | 6.76  | 25   | 0.5745          | 0.8339   |
+| 0.78          | 7.84  | 29   | 0.5489          | 0.8508   |
+| 0.6037        | 8.11  | 30   | 0.5490          | 0.8542   |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.30.2
+- Pytorch 1.13.1+cpu
+- Datasets 2.13.1
+- Tokenizers 0.13.3