End of training

README.md

@@ -0,0 +1,58 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: image_classification
+  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. -->
+
+# image_classification
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.6442
+- eval_accuracy: 0.3812
+- eval_runtime: 130.9877
+- eval_samples_per_second: 1.221
+- eval_steps_per_second: 0.076
+- epoch: 2.27
+- step: 91
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bc8a3c4b7e7a020db42d14ec071707a1b5f610f3a95306578513761135fe6f2b
+oid sha256:f2890714059c8cefffe6f70e13883bef3970e308d312722c68bf9eb72b70f443
 size 343242432

runs/Feb16_11-59-21_5d5c12cb8861/events.out.tfevents.1708084769.5d5c12cb8861.7744.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a7835f9542ea6fe50053872c245b4d7884551d2af57663929f61e904761a9a09
-size 5099
+oid sha256:3fe7e97d95f0916695a8ba4472e710fad824e69e72128580fb8132a33f836c69
+size 5416