metadata
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-CocoCaptions
results: []
git-base-CocoCaptions
This model is a fine-tuned version of microsoft/git-base on the Smaller COCO dataset for image captioning. It achieves the following results on the evaluation set:
- Loss: 0.2839
- Wer Score: 1.0
Model description
More information needed
Intended uses & limitations
University researcg project
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.01
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| No log | 0.8 | 100 | 0.2959 | 1.0 |
| No log | 1.6 | 200 | 0.2859 | 1.0 |
| No log | 2.4 | 300 | 0.2821 | 1.0 |
| No log | 3.2 | 400 | 0.2863 | 1.0 |
| 0.4331 | 4.0 | 500 | 0.2833 | 1.0 |
| 0.4331 | 4.8 | 600 | 0.2837 | 1.0 |
| 0.4331 | 5.6 | 700 | 0.2827 | 1.0 |
| 0.4331 | 6.4 | 800 | 0.2850 | 1.0 |
| 0.4331 | 7.2 | 900 | 0.2870 | 1.0 |
| 0.2566 | 8.0 | 1000 | 0.2842 | 1.0 |
| 0.2566 | 8.8 | 1100 | 0.2841 | 1.0 |
| 0.2566 | 9.6 | 1200 | 0.2839 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0