metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Small_Weeds_Classification
results: []
Small_Weeds_Classification
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7318
- Accuracy: 0.4200
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.2032 | 0.9996 | 662 | 4.1884 | 0.2552 |
| 3.3354 | 1.9992 | 1324 | 3.4367 | 0.3206 |
| 2.8501 | 2.9989 | 1986 | 3.0902 | 0.3626 |
| 2.643 | 4.0 | 2649 | 2.9247 | 0.3870 |
| 2.4272 | 4.9996 | 3311 | 2.8228 | 0.4070 |
| 2.1558 | 5.9977 | 3972 | 2.7318 | 0.4200 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1