Model save

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vit-base-1stGen-Pokemon-Images
+  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. -->
+
+# vit-base-1stGen-Pokemon-Images
+
+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: 1.0561
+- Accuracy: 0.8175
+
+## 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: 0.0003
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.4052        | 1.0   | 422  | 2.2029          | 0.6386   |
+| 1.4347        | 2.0   | 844  | 1.4776          | 0.7536   |
+| 0.9834        | 3.0   | 1266 | 1.2078          | 0.7950   |
+| 0.8073        | 4.0   | 1688 | 1.0888          | 0.8187   |
+| 0.6758        | 5.0   | 2110 | 1.0561          | 0.8175   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Aug28_05-45-41_262ed9de4825/events.out.tfevents.1724825050.262ed9de4825.1401.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:130cfd5cc87588a30d58d128d5dac41cb79b46ac8faa8fbf6cbc4e13f20048fd
+size 734