metadata
license: apache-2.0
base_model: ivandrian11/fruit-classifier
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned-fruit-classifier
results: []
finetuned-fruit-classifier
This model is a fine-tuned version of ivandrian11/fruit-classifier on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1037
- Accuracy: 0.95
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0057 | 1.0 | 7 | 0.1005 | 0.95 |
| 0.0041 | 2.0 | 14 | 0.1033 | 0.95 |
| 0.0042 | 3.0 | 21 | 0.1037 | 0.95 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1