|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: microsoft/resnet-101 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- imagefolder |
|
|
model-index: |
|
|
- name: resnet-101-CivilEng11k_3Classes-new |
|
|
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. --> |
|
|
|
|
|
# resnet-101-CivilEng11k_3Classes-new |
|
|
|
|
|
This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on the imagefolder dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- eval_loss: 0.0001 |
|
|
- eval_accuracy: 1.0 |
|
|
- eval_runtime: 58.9592 |
|
|
- eval_samples_per_second: 10.007 |
|
|
- eval_steps_per_second: 0.322 |
|
|
- epoch: 5.0 |
|
|
- step: 140 |
|
|
|
|
|
## 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: 0.0005 |
|
|
- train_batch_size: 32 |
|
|
- eval_batch_size: 32 |
|
|
- seed: 42 |
|
|
- 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 |
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.37.2 |
|
|
- Pytorch 2.0.1+cpu |
|
|
- Datasets 2.18.0 |
|
|
- Tokenizers 0.15.1 |
|
|
|
