metadata
library_name: transformers
license: apache-2.0
base_model: facebook/convnext-large-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: weeds24_convnext_balanced
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: test
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9466666666666667
weeds24_convnext_balanced
This model is a fine-tuned version of facebook/convnext-large-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1877
- Accuracy: 0.9467
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 7.4829 | 1.0 | 150 | 1.7511 | 0.7067 |
| 2.4023 | 2.0 | 300 | 0.5508 | 0.88 |
| 1.3619 | 3.0 | 450 | 0.3333 | 0.9067 |
| 0.8977 | 4.0 | 600 | 0.2723 | 0.91 |
| 0.6876 | 5.0 | 750 | 0.2152 | 0.93 |
| 0.7965 | 6.0 | 900 | 0.1958 | 0.9333 |
| 0.6088 | 7.0 | 1050 | 0.2203 | 0.92 |
| 0.6752 | 8.0 | 1200 | 0.1977 | 0.94 |
| 0.2985 | 9.0 | 1350 | 0.1814 | 0.9533 |
| 0.2278 | 10.0 | 1500 | 0.1877 | 0.9467 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.0+cu124
- Datasets 3.0.2
- Tokenizers 0.20.1