End of training

README.md

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+---
+license: mit
+base_model: shi-labs/nat-mini-in1k-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: msi-mini2
+  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. -->
+
+# msi-mini2
+
+This model is a fine-tuned version of [shi-labs/nat-mini-in1k-224](https://huggingface.co/shi-labs/nat-mini-in1k-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.0132
+- eval_accuracy: 0.6103
+- eval_runtime: 97.1589
+- eval_samples_per_second: 294.528
+- eval_steps_per_second: 18.413
+- epoch: 2.0
+- step: 4031
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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