Model save

README.md

@@ -0,0 +1,84 @@
+---
+license: apache-2.0
+base_model: facebook/convnextv2-base-22k-384
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: convnext-base-3e-5-weight-decay-2e-8
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9479125248508946
+---
+
+<!-- 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. -->
+
+# convnext-base-3e-5-weight-decay-2e-8
+
+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: 0.2555
+- Accuracy: 0.9479
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.4785        | 1.0   | 1099  | 0.3694          | 0.8871   |
+| 0.3622        | 2.0   | 2198  | 0.3020          | 0.9185   |
+| 0.2714        | 3.0   | 3297  | 0.2678          | 0.9292   |
+| 0.2277        | 4.0   | 4396  | 0.2377          | 0.9392   |
+| 0.2028        | 5.0   | 5495  | 0.2595          | 0.9392   |
+| 0.1738        | 6.0   | 6594  | 0.2484          | 0.9412   |
+| 0.1651        | 7.0   | 7693  | 0.2631          | 0.9400   |
+| 0.1155        | 8.0   | 8792  | 0.2552          | 0.9487   |
+| 0.1141        | 9.0   | 9891  | 0.2546          | 0.9487   |
+| 0.0903        | 10.0  | 10990 | 0.2555          | 0.9479   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:529108d0d273af2bfcf7ab56d87a1f4840c4fa9eb267b5315afc9b28d49c0a05
+oid sha256:01356d69bb6cd2e4e338348ce2c33832c4d6a1e93acac300c17ca7b721e06172
 size 350940280