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---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: GenerativeImage2Text-naruto
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GenerativeImage2Text-naruto
This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0544
- Wer Score: 2.6810
## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 7.2829 | 1.8182 | 50 | 4.4333 | 11.5086 |
| 2.2118 | 3.6364 | 100 | 0.3655 | 1.1034 |
| 0.1089 | 5.4545 | 150 | 0.0428 | 1.0259 |
| 0.0223 | 7.2727 | 200 | 0.0421 | 0.4655 |
| 0.0162 | 9.0909 | 250 | 0.0430 | 0.4224 |
| 0.0139 | 10.9091 | 300 | 0.0434 | 0.9569 |
| 0.0126 | 12.7273 | 350 | 0.0455 | 0.8534 |
| 0.0115 | 14.5455 | 400 | 0.0457 | 3.2845 |
| 0.0106 | 16.3636 | 450 | 0.0490 | 2.3190 |
| 0.0096 | 18.1818 | 500 | 0.0515 | 2.2241 |
| 0.0094 | 20.0 | 550 | 0.0520 | 1.9569 |
| 0.0087 | 21.8182 | 600 | 0.0540 | 4.2328 |
| 0.0084 | 23.6364 | 650 | 0.0539 | 1.8448 |
| 0.008 | 25.4545 | 700 | 0.0546 | 2.5431 |
| 0.0077 | 27.2727 | 750 | 0.0542 | 2.7672 |
| 0.0072 | 29.0909 | 800 | 0.0544 | 2.6810 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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