metadata
license: apache-2.0
base_model: Professor/Plant_Classification_model_vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: CGIAR
results: []
CGIAR
This model is a fine-tuned version of Professor/Plant_Classification_model_vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4275
- Accuracy: 0.415
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: 0.001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 25 | 1.4275 | 0.415 |
| No log | 2.0 | 50 | 1.7043 | 0.285 |
| No log | 3.0 | 75 | 1.6228 | 0.23 |
| No log | 4.0 | 100 | 1.6337 | 0.2 |
| No log | 5.0 | 125 | 1.6076 | 0.22 |
| No log | 6.0 | 150 | 1.5424 | 0.285 |
| No log | 7.0 | 175 | 1.5305 | 0.275 |
| No log | 8.0 | 200 | 1.5024 | 0.32 |
| No log | 9.0 | 225 | 1.4686 | 0.355 |
| No log | 10.0 | 250 | 1.4797 | 0.335 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0