Pavarissy/ConvNextV2-large-DogBreed

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnextv2-large-22k-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ConvNextV2-large-DogBreed
+  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-large-DogBreed
+
+This model is a fine-tuned version of [facebook/convnextv2-large-22k-224](https://huggingface.co/facebook/convnextv2-large-22k-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.8105
+- Accuracy: 0.0179
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 512
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 4.8833        | 1.0   | 13   | 4.7927          | 0.0180   |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1