Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-hybrid-base-bit-384
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vit-hybrid-base-bit-384-finetuned-ibird
+  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-hybrid-base-bit-384-finetuned-ibird
+
+This model is a fine-tuned version of [google/vit-hybrid-base-bit-384](https://huggingface.co/google/vit-hybrid-base-bit-384) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0200
+- Accuracy: 0.9942
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0997        | 1.0   | 565  | 0.0310          | 0.9907   |
+| 0.0005        | 2.0   | 1131 | 0.0196          | 0.9951   |
+| 0.0014        | 3.0   | 1695 | 0.0200          | 0.9942   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Tokenizers 0.15.2

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