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: google/efficientnet-b0
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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: efficientnet-b0-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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# efficientnet-b0-finetuned-noh
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This model is a fine-tuned version of [google/efficientnet-b0](https://huggingface.co/google/efficientnet-b0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4139
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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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| 0.6146 | 1.0 | 23 | 0.6139 | 0.7291 |
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| 0.5116 | 2.0 | 46 | 0.4704 | 0.8309 |
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| 0.4655 | 3.0 | 69 | 0.4233 | 0.8588 |
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| 0.4331 | 4.0 | 92 | 0.4119 | 0.8604 |
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| 0.4281 | 5.0 | 115 | 0.3897 | 0.8752 |
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| 0.4001 | 6.0 | 138 | 0.4012 | 0.8719 |
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| 0.3721 | 7.0 | 161 | 0.3861 | 0.8818 |
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| 0.3979 | 8.0 | 184 | 0.3784 | 0.8883 |
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| 0.3376 | 9.0 | 207 | 0.4171 | 0.8604 |
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| 0.3984 | 9.5778 | 220 | 0.4139 | 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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