metadata
license: apache-2.0
base_model: facebook/dinov2-small-imagenet1k-1-layer
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sample_footColor
results: []
sample_footColor
This model is a fine-tuned version of facebook/dinov2-small-imagenet1k-1-layer on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0480
- Accuracy: 0.55
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.9818 | 1.0 | 12 | 1.4086 | 0.55 |
| 4.0926 | 2.0 | 24 | 1.1745 | 0.55 |
| 1.9427 | 3.0 | 36 | 1.8742 | 0.2 |
| 4.0665 | 4.0 | 48 | 1.0673 | 0.55 |
| 2.225 | 5.0 | 60 | 1.3158 | 0.55 |
| 1.4044 | 6.0 | 72 | 1.1891 | 0.55 |
| 1.6696 | 7.0 | 84 | 1.0104 | 0.55 |
| 1.1405 | 8.0 | 96 | 1.1005 | 0.55 |
| 1.5148 | 9.0 | 108 | 1.0531 | 0.55 |
| 1.1416 | 10.0 | 120 | 1.0480 | 0.55 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0