End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnextv2-base-1k-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: convnextv2_base_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. -->
+
+# convnextv2_base_food101
+
+This model is a fine-tuned version of [facebook/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8168
+- Accuracy: 0.879
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.7312        | 0.99  | 62   | 2.5255          | 0.67     |
+| 1.5322        | 2.0   | 125  | 1.4561          | 0.801    |
+| 1.0416        | 2.99  | 187  | 1.0503          | 0.846    |
+| 0.8151        | 4.0   | 250  | 0.8770          | 0.8675   |
+| 0.7454        | 4.96  | 310  | 0.8168          | 0.879    |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.2.1
+- Datasets 2.17.1
+- Tokenizers 0.15.2