End of training

README.md

@@ -0,0 +1,56 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+model-index:
+- name: alzheimer_mri_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. -->
+
+# alzheimer_mri_classification
+
+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:
+- eval_loss: 0.3701
+- eval_accuracy: 0.8418
+- eval_runtime: 13.5496
+- eval_samples_per_second: 75.574
+- eval_steps_per_second: 2.362
+- epoch: 9.2
+- step: 1177
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e84e3e681f8a5e5605c276051b8998675900a564b67c4d63d3ec319a288edfee
+oid sha256:ffc2aed070b48ec4c62dae32a4332c60ce750ec62900d86bdfd13c7d633e62b9
 size 343230128

runs/Mar24_15-34-06_12e86747b861/events.out.tfevents.1711294457.12e86747b861.7326.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7d3092f4d83ad8e1e5c5938b377254a8e20fc376c08790063953cc07e2256a58
-size 8181
+oid sha256:fdeaf449ebe6b5965bda3ddbfea495018aac2b954aefeb1f539d37bc01e59d1a
+size 8504