End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnextv2-femto-1k-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: convnextv2_femto_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_femto_food101
+
+This model is a fine-tuned version of [facebook/convnextv2-femto-1k-224](https://huggingface.co/facebook/convnextv2-femto-1k-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5759
+- Accuracy: 0.8435
+
+## 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: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.88          | 0.99  | 62   | 1.6014          | 0.661    |
+| 0.9478        | 2.0   | 125  | 0.8978          | 0.7795   |
+| 0.7794        | 2.99  | 187  | 0.7312          | 0.814    |
+| 0.6316        | 4.0   | 250  | 0.6452          | 0.825    |
+| 0.5729        | 4.99  | 312  | 0.6147          | 0.8355   |
+| 0.5052        | 5.95  | 372  | 0.5759          | 0.8435   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.2.1
+- Datasets 2.17.1
+- Tokenizers 0.15.2