Model save

README.md

@@ -0,0 +1,93 @@
+---
+license: apache-2.0
+base_model: facebook/convnextv2-base-22k-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: BaseModel-leaf-disease-convnextv2-base-22k-224-0_1_2_3_4
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8813084112149533
+---
+
+<!-- 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. -->
+
+# BaseModel-leaf-disease-convnextv2-base-22k-224-0_1_2_3_4
+
+This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3419
+- Accuracy: 0.8813
+
+## 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: 300
+- eval_batch_size: 300
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 1200
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 16
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.4178        | 0.98  | 16   | 0.9457          | 0.6215   |
+| 0.6112        | 1.97  | 32   | 0.4856          | 0.8294   |
+| 0.4468        | 2.95  | 48   | 0.4163          | 0.8575   |
+| 0.3659        | 4.0   | 65   | 0.3790          | 0.8715   |
+| 0.3481        | 4.98  | 81   | 0.3655          | 0.8785   |
+| 0.3338        | 5.97  | 97   | 0.3637          | 0.8748   |
+| 0.3216        | 6.95  | 113  | 0.3568          | 0.8752   |
+| 0.2948        | 8.0   | 130  | 0.3493          | 0.8808   |
+| 0.2944        | 8.98  | 146  | 0.3483          | 0.8808   |
+| 0.2857        | 9.97  | 162  | 0.3474          | 0.8808   |
+| 0.2711        | 10.95 | 178  | 0.3442          | 0.8790   |
+| 0.2682        | 12.0  | 195  | 0.3418          | 0.8813   |
+| 0.252         | 12.98 | 211  | 0.3409          | 0.8827   |
+| 0.2598        | 13.97 | 227  | 0.3405          | 0.8827   |
+| 0.2621        | 14.95 | 243  | 0.3432          | 0.8813   |
+| 0.2602        | 15.75 | 256  | 0.3419          | 0.8813   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f07b5d98b180db1c0204f9c1d333df16fcad896df6982e9b715f65e27ee28c07
+oid sha256:00a0d84e280139983203278bf3f9aa900717e19a924ee4f93c0a55c2df02fdda
 size 350837748