End of training

README.md

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+---
+license: apache-2.0
+base_model: google/efficientnet-b1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: efficientnet_b1-food101
+  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. -->
+
+# efficientnet_b1-food101
+
+This model is a fine-tuned version of [google/efficientnet-b1](https://huggingface.co/google/efficientnet-b1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0490
+- Accuracy: 0.9947
+
+## 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: 0.0002
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 47   | 4.3674          | 0.1548   |
+| No log        | 2.0   | 94   | 3.1870          | 0.8915   |
+| No log        | 3.0   | 141  | 0.8758          | 0.9751   |
+| No log        | 4.0   | 188  | 0.1010          | 0.9858   |
+| No log        | 5.0   | 235  | 0.0503          | 0.9893   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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