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# resnet-101-finetuned-CivilEng11k

This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3590
- Accuracy: 0.8716

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 320
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4679        | 0.98  | 25   | 1.9449          | 0.5368   |
| 1.2247        | 2.0   | 51   | 1.1001          | 0.6799   |
| 0.8434        | 2.98  | 76   | 0.5851          | 0.7887   |
| 0.491         | 4.0   | 102  | 0.4335          | 0.8338   |
| 0.4512        | 4.98  | 127  | 0.4010          | 0.8402   |
| 0.3891        | 6.0   | 153  | 0.3817          | 0.8544   |
| 0.3533        | 6.98  | 178  | 0.3680          | 0.8603   |
| 0.3407        | 8.0   | 204  | 0.3590          | 0.8716   |
| 0.3244        | 8.98  | 229  | 0.3606          | 0.8662   |
| 0.3258        | 9.8   | 250  | 0.3549          | 0.8691   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/resnet-101", "model-index": [{"name": "resnet-101-finetuned-CivilEng11k", "results": []}]}
transformers tensorboard safetensors resnet image-classification generated_from_trainer base_model:microsoft/resnet-101 license:apache-2.0 autotrain_compatible endpoints_compatible region:us