Update README.md

README.md

@@ -13,61 +13,9 @@ datasets:
 pipeline_tag: image-classification
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # mobilenet_v2_1.0_224-plant-disease-new
 
 This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on imagenet-1k dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1287
-- Accuracy: 0.9812
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 110
-- eval_batch_size: 110
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 500
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 8
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5043        | 1.0   | 366  | 0.4476          | 0.8886   |
-| 0.2492        | 2.0   | 733  | 0.2550          | 0.9281   |
-| 0.2069        | 3.0   | 1100 | 0.2332          | 0.9247   |
-| 0.1716        | 4.0   | 1467 | 0.3329          | 0.8960   |
-| 0.1602        | 5.0   | 1833 | 0.1999          | 0.9388   |
-| 0.1633        | 5.99  | 2196 | 0.1287          | 0.9600   |
-| 0.1663        | 6.01  | 2410 | 0.1328          | 0.9790   |
-| 0.1824        | 6.79  | 2535 | 0.1637          | 0.9812   |
-
-
-### Framework versions
-
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.16.0
-- Tokenizers 0.15.0
+- Loss: 0.7510
+- Accuracy: 0.24