metadata
license: apache-2.0
base_model: microsoft/resnet-101
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: resnet-101-finetuned-CivilEng11k
results: []
resnet-101-finetuned-CivilEng11k
This model is a fine-tuned version of microsoft/resnet-101 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.0
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 |
|---|---|---|---|---|
| No log | 0.81 | 3 | nan | 0.0 |
| No log | 1.89 | 7 | nan | 0.0 |
| 0.0 | 2.97 | 11 | nan | 0.0 |
| 0.0 | 3.78 | 14 | nan | 0.0 |
| 0.0 | 4.86 | 18 | nan | 0.0 |
| 0.0 | 5.95 | 22 | nan | 0.0 |
| 0.0 | 6.76 | 25 | nan | 0.0 |
| 0.0 | 7.84 | 29 | nan | 0.0 |
| 0.0 | 8.11 | 30 | nan | 0.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2