Model save

README.md

@@ -0,0 +1,93 @@
+---
+license: apache-2.0
+base_model: facebook/convnextv2-base-22k-384
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: convnextv2-base-22k-384-finetuned-cassava-leaf-disease
+  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: 0.8785046728971962
+---
+
+<!-- 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. -->
+
+# convnextv2-base-22k-384-finetuned-cassava-leaf-disease
+
+This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3755
+- Accuracy: 0.8785
+
+## 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: 140
+- eval_batch_size: 140
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 560
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7713        | 0.99  | 34   | 0.5754          | 0.7949   |
+| 0.3953        | 2.0   | 69   | 0.3769          | 0.8650   |
+| 0.3478        | 2.99  | 103  | 0.3717          | 0.8673   |
+| 0.3296        | 4.0   | 138  | 0.3696          | 0.8752   |
+| 0.3058        | 4.99  | 172  | 0.3387          | 0.8808   |
+| 0.2791        | 6.0   | 207  | 0.3480          | 0.8804   |
+| 0.2541        | 6.99  | 241  | 0.3483          | 0.8799   |
+| 0.247         | 8.0   | 276  | 0.3590          | 0.8743   |
+| 0.2395        | 8.99  | 310  | 0.3505          | 0.8794   |
+| 0.2139        | 10.0  | 345  | 0.3702          | 0.8766   |
+| 0.2116        | 10.99 | 379  | 0.3702          | 0.8766   |
+| 0.204         | 12.0  | 414  | 0.3661          | 0.8762   |
+| 0.183         | 12.99 | 448  | 0.3705          | 0.8776   |
+| 0.1856        | 14.0  | 483  | 0.3861          | 0.8780   |
+| 0.1641        | 14.99 | 517  | 0.3758          | 0.8766   |
+| 0.1784        | 15.77 | 544  | 0.3755          | 0.8785   |
+
+
+### 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 sha256:77368ad0ad732bff93669395272f8431dfe60bb4b04fd0e16009fff56fe32fba
+oid sha256:e5bcdd4d1c068ec9097bde950198f50e5cc382e5e7970cd6500a4237a8febcdc
 size 350837748