End of training

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+base_model: facebook/deit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: hushem_40x_deit_base_n_f2
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7555555555555555
+---
+
+<!-- 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. -->
+
+# hushem_40x_deit_base_n_f2
+
+This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4506
+- Accuracy: 0.7556
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.039         | 1.0   | 107  | 0.9415          | 0.7333   |
+| 0.0142        | 2.0   | 214  | 1.1180          | 0.7556   |
+| 0.0006        | 2.99  | 321  | 1.2484          | 0.8      |
+| 0.0002        | 4.0   | 429  | 1.2754          | 0.7556   |
+| 0.0001        | 5.0   | 536  | 1.3350          | 0.7556   |
+| 0.0           | 6.0   | 643  | 1.3982          | 0.7556   |
+| 0.0           | 6.99  | 750  | 1.4243          | 0.7556   |
+| 0.0           | 8.0   | 858  | 1.4408          | 0.7556   |
+| 0.0           | 9.0   | 965  | 1.4480          | 0.7556   |
+| 0.0           | 9.98  | 1070 | 1.4506          | 0.7556   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6ecf1b0212ab8e43021a0e187a9db683c4b68bbb70c23ba5b4711950381ce450
+oid sha256:15fc2b5172869fc25aaa91410cb5495fc3779ec29c62e356af57aea8d81f2c44
 size 343230128

runs/Nov04_17-16-16_b1f0329488c6/events.out.tfevents.1699118177.b1f0329488c6.1884.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fe604b4eebad33f333b3e0acbd623f08b661a49f214f91b36f875c1c62313721
-size 22299
+oid sha256:31a904c8035a41ac797a6c6e7bdc2dad5b5f49da34b9107f23487056ee2c00e4
+size 24703