metadata
library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: Image-Caption-University-model
results: []
Image-Caption-University-model
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: 0.4060
- Wer Score: 2.0586
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: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 7.1651 | 6.6667 | 50 | 4.6332 | 2.9074 |
| 2.6998 | 13.3333 | 100 | 1.0675 | 2.1821 |
| 0.3956 | 20.0 | 150 | 0.3752 | 2.5494 |
| 0.0633 | 26.6667 | 200 | 0.3804 | 1.9321 |
| 0.0196 | 33.3333 | 250 | 0.3981 | 2.4105 |
| 0.0141 | 40.0 | 300 | 0.4050 | 2.0679 |
| 0.0115 | 46.6667 | 350 | 0.4060 | 2.0586 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1