End of training

README.md

@@ -0,0 +1,72 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: 0.50-200Train-100Test-vit-base
+  results: []
+---
+
+<!-- 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. -->
+
+# 0.50-200Train-100Test-vit-base
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7055
+- Accuracy: 0.8140
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.9228        | 0.9931 | 36   | 1.4677          | 0.5921   |
+| 0.5728        | 1.9862 | 72   | 0.7717          | 0.7721   |
+| 0.2216        | 2.9793 | 108  | 0.6836          | 0.7930   |
+| 0.052         | 4.0    | 145  | 0.6623          | 0.8052   |
+| 0.0145        | 4.9931 | 181  | 0.7002          | 0.7991   |
+| 0.0075        | 5.9862 | 217  | 0.6851          | 0.8131   |
+| 0.0059        | 6.9793 | 253  | 0.6920          | 0.8166   |
+| 0.0045        | 8.0    | 290  | 0.6996          | 0.8140   |
+| 0.004         | 8.9931 | 326  | 0.7044          | 0.8140   |
+| 0.0042        | 9.9310 | 360  | 0.7055          | 0.8140   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5001eb068694c831dcce044461008ccba9f17dccb6abfd00feba4a4765cabc93
+oid sha256:67b024d32fc32eb06dae8c20780163123f98895e019dd1f6da7472f4f401202d
 size 343254736