Model save
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- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/convnext-tiny-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: convnext-tiny-224-finetuned-noh
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results: []
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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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# convnext-tiny-224-finetuned-noh
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3873
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- Accuracy: 0.8621
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.5518 | 1.0 | 23 | 0.5414 | 0.7619 |
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| 0.5027 | 2.0 | 46 | 0.4834 | 0.7619 |
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| 0.4616 | 3.0 | 69 | 0.4075 | 0.8358 |
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| 0.4001 | 4.0 | 92 | 0.3601 | 0.8571 |
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| 0.3698 | 5.0 | 115 | 0.3467 | 0.8768 |
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| 0.3261 | 6.0 | 138 | 0.3730 | 0.8801 |
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| 0.301 | 7.0 | 161 | 0.3728 | 0.8736 |
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| 0.3071 | 8.0 | 184 | 0.3959 | 0.8374 |
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| 0.264 | 9.0 | 207 | 0.3865 | 0.8604 |
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| 0.2769 | 9.5778 | 220 | 0.3873 | 0.8621 |
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### Framework versions
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- Transformers 4.47.0
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- Pytorch 2.5.1
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- Datasets 2.19.1
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 111307920
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