metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_food_model3
results: []
my_awesome_food_model3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9406
- Accuracy: 0.94
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0152 | 0.992 | 31 | 1.8843 | 0.89 |
| 1.5699 | 1.984 | 62 | 1.5180 | 0.91 |
| 1.3132 | 2.976 | 93 | 1.2750 | 0.918 |
| 1.151 | 4.0 | 125 | 1.1549 | 0.912 |
| 0.9953 | 4.992 | 156 | 1.0372 | 0.926 |
| 0.9404 | 5.984 | 187 | 0.9710 | 0.937 |
| 0.9211 | 6.944 | 217 | 0.9406 | 0.94 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1