metadata
library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-food101
results: []
git-base-food101
This model is a fine-tuned version of microsoft/git-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0014
- Wer Score: 2.0
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 2.6931 | 8.3333 | 50 | 0.5876 | 1.0 |
| 0.1653 | 16.6667 | 100 | 0.0096 | 2.0 |
| 0.005 | 25.0 | 150 | 0.0026 | 2.0 |
| 0.0023 | 33.3333 | 200 | 0.0017 | 2.0 |
| 0.0018 | 41.6667 | 250 | 0.0014 | 2.0 |
| 0.0016 | 50.0 | 300 | 0.0014 | 2.0 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4