metadata
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-naruto
results: []
git-base-naruto
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: 0.0279
- Wer Score: 7.0134
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: 2e-05
- train_batch_size: 5
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 10
- 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 |
|---|---|---|---|---|
| 8.5536 | 2.2727 | 50 | 7.1184 | 52.625 |
| 6.2017 | 4.5455 | 100 | 5.0281 | 22.3527 |
| 4.1263 | 6.8182 | 150 | 2.9941 | 21.8616 |
| 2.2013 | 9.0909 | 200 | 1.2700 | 18.7321 |
| 0.7916 | 11.3636 | 250 | 0.3337 | 12.1607 |
| 0.1917 | 13.6364 | 300 | 0.0798 | 4.5357 |
| 0.0458 | 15.9091 | 350 | 0.0356 | 1.0 |
| 0.0142 | 18.1818 | 400 | 0.0278 | 7.25 |
| 0.0066 | 20.4545 | 450 | 0.0287 | 8.4196 |
| 0.0043 | 22.7273 | 500 | 0.0270 | 7.8795 |
| 0.0032 | 25.0 | 550 | 0.0272 | 7.2545 |
| 0.0027 | 27.2727 | 600 | 0.0273 | 7.0179 |
| 0.0023 | 29.5455 | 650 | 0.0271 | 7.2054 |
| 0.002 | 31.8182 | 700 | 0.0275 | 7.0580 |
| 0.0018 | 34.0909 | 750 | 0.0276 | 7.2589 |
| 0.0016 | 36.3636 | 800 | 0.0277 | 7.0312 |
| 0.0015 | 38.6364 | 850 | 0.0277 | 7.0759 |
| 0.0014 | 40.9091 | 900 | 0.0278 | 7.1071 |
| 0.0014 | 43.1818 | 950 | 0.0278 | 7.1161 |
| 0.0013 | 45.4545 | 1000 | 0.0279 | 6.9241 |
| 0.0013 | 47.7273 | 1050 | 0.0279 | 6.9911 |
| 0.0013 | 50.0 | 1100 | 0.0279 | 7.0134 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1