metadata
library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-caption
results: []
git-base-caption
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: 6.6179
- Wer Score: 9.0625
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: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|---|---|---|---|---|
| 10.1592 | 10.0 | 10 | 8.7538 | 31.2656 |
| 8.2408 | 20.0 | 20 | 7.7825 | 31.5 |
| 7.4378 | 30.0 | 30 | 7.1866 | 15.625 |
| 6.9092 | 40.0 | 40 | 6.7962 | 9.375 |
| 6.5994 | 50.0 | 50 | 6.6179 | 9.0625 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0