End of training

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+base_model: facebook/deit-tiny-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: hushem_40x_deit_tiny_f5
+  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: 0.8536585365853658
+---
+
+<!-- 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_tiny_f5
+
+This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7504
+- Accuracy: 0.8537
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0726        | 1.0   | 110  | 0.3341          | 0.9024   |
+| 0.0333        | 2.0   | 220  | 0.9022          | 0.7561   |
+| 0.0011        | 3.0   | 330  | 0.5944          | 0.8293   |
+| 0.0026        | 4.0   | 440  | 0.6847          | 0.8293   |
+| 0.0012        | 5.0   | 550  | 1.1544          | 0.8049   |
+| 0.0005        | 6.0   | 660  | 0.4633          | 0.8537   |
+| 0.0031        | 7.0   | 770  | 0.5821          | 0.8780   |
+| 0.0           | 8.0   | 880  | 0.7434          | 0.8780   |
+| 0.0           | 9.0   | 990  | 0.7497          | 0.8537   |
+| 0.0           | 10.0  | 1100 | 0.7504          | 0.8537   |
+
+
+### 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 sha256:395c22d9c4707cf10df248266e1b755023b783acf06b7233a0a031d9c82498b8
+oid sha256:0683a3df3bdf35492a0cdeebc78e993d3df4b980a14bb5d3ed7cdb90b97d2b84
 size 22123464