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README.md
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---
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license: apache-2.0
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base_model: facebook/convnextv2-base-22k-384
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- f1
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model-index:
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- name: convnextv2-base-22k-384
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: train
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args: default
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metrics:
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- name: F1
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type: f1
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value: 1.0
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# convnextv2-base-22k-384
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This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0021
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- F1: 1.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.1686 | 0.99 | 53 | 0.1308 | 0.6624 |
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| 0.0717 | 1.99 | 107 | 0.0620 | 0.9071 |
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| 0.0431 | 3.0 | 161 | 0.0455 | 0.9223 |
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| 0.0453 | 4.0 | 215 | 0.0213 | 0.9661 |
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| 0.0346 | 4.99 | 268 | 0.0182 | 0.9637 |
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| 0.0141 | 5.99 | 322 | 0.0072 | 0.9923 |
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| 0.015 | 7.0 | 376 | 0.0077 | 0.9923 |
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| 0.0146 | 8.0 | 430 | 0.0085 | 0.9884 |
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| 0.0133 | 8.99 | 483 | 0.0047 | 0.9923 |
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| 0.0164 | 9.86 | 530 | 0.0021 | 1.0 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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