update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: Train
   results: []
@@ -14,10 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Train
 
-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: 2.8747
-- Accuracy: 0.3
+This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on an unknown dataset.
 
 ## Model description
 
@@ -44,27 +39,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 3.2433        | 0.13  | 100  | 3.2168          | 0.0462   |
-| 3.2076        | 0.26  | 200  | 3.2063          | 0.0641   |
-| 3.136         | 0.39  | 300  | 3.1938          | 0.1051   |
-| 3.2283        | 0.51  | 400  | 3.1785          | 0.1077   |
-| 3.1354        | 0.64  | 500  | 3.1671          | 0.1282   |
-| 3.3212        | 0.77  | 600  | 3.1385          | 0.1590   |
-| 3.3626        | 0.9   | 700  | 3.1269          | 0.2128   |
-| 3.1565        | 1.03  | 800  | 3.0776          | 0.1564   |
-| 3.0873        | 1.16  | 900  | 3.0446          | 0.2179   |
-| 2.9991        | 1.29  | 1000 | 2.9940          | 0.2744   |
-| 2.9279        | 1.41  | 1100 | 2.9565          | 0.2718   |
-| 2.8635        | 1.54  | 1200 | 2.9233          | 0.2769   |
-| 2.9502        | 1.67  | 1300 | 2.9280          | 0.2974   |
-| 3.084         | 1.8   | 1400 | 2.8648          | 0.3103   |
-| 2.8916        | 1.93  | 1500 | 2.8747          | 0.3      |
-
-
 ### Framework versions
 
 - Transformers 4.30.1