Model save

README.md

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+---
+license: other
+base_model: apple/mobilevitv2-1.0-imagenet1k-256
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: car_identified_model_7
+  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. -->
+
+# car_identified_model_7
+
+This model is a fine-tuned version of [apple/mobilevitv2-1.0-imagenet1k-256](https://huggingface.co/apple/mobilevitv2-1.0-imagenet1k-256) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.5066
+- eval_f1: 0.4186
+- eval_roc_auc: 0.7233
+- eval_accuracy: 0.1429
+- eval_runtime: 2.3108
+- eval_samples_per_second: 18.176
+- eval_steps_per_second: 1.298
+- epoch: 228.36
+- step: 314
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 400
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

pytorch_model.bin

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