---
library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: git-base-new-one-entrance-dungeons-35
  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. -->

# git-base-new-one-entrance-dungeons-35

This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 5.6255
- Wer Score: 19.8

## 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: 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 35

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 7.2058        | 0.8   | 2    | 7.1464          | 69.7      |
| 7.1938        | 1.6   | 4    | 7.1157          | 69.7      |
| 7.1572        | 2.4   | 6    | 7.0644          | 69.7      |
| 7.0951        | 3.2   | 8    | 6.9847          | 69.7      |
| 7.0118        | 4.0   | 10   | 6.9004          | 69.7      |
| 6.928         | 4.8   | 12   | 6.8197          | 69.7      |
| 6.8465        | 5.6   | 14   | 6.7396          | 69.65     |
| 6.7675        | 6.4   | 16   | 6.6637          | 69.4      |
| 6.6913        | 7.2   | 18   | 6.5899          | 69.65     |
| 6.6176        | 8.0   | 20   | 6.5193          | 65.0      |
| 6.5466        | 8.8   | 22   | 6.4509          | 69.7      |
| 6.4786        | 9.6   | 24   | 6.3847          | 21.9      |
| 6.4126        | 10.4  | 26   | 6.3221          | 21.0      |
| 6.3502        | 11.2  | 28   | 6.2613          | 69.25     |
| 6.2899        | 12.0  | 30   | 6.2033          | 19.65     |
| 6.2323        | 12.8  | 32   | 6.1486          | 19.7      |
| 6.1779        | 13.6  | 34   | 6.0961          | 19.8      |
| 6.1258        | 14.4  | 36   | 6.0462          | 19.85     |
| 6.0761        | 15.2  | 38   | 5.9986          | 19.85     |
| 6.0298        | 16.0  | 40   | 5.9544          | 19.9      |
| 5.9861        | 16.8  | 42   | 5.9129          | 19.8      |
| 5.9451        | 17.6  | 44   | 5.8742          | 19.8      |
| 5.9073        | 18.4  | 46   | 5.8384          | 19.8      |
| 5.8716        | 19.2  | 48   | 5.8049          | 19.8      |
| 5.8391        | 20.0  | 50   | 5.7745          | 19.8      |
| 5.8095        | 20.8  | 52   | 5.7473          | 19.8      |
| 5.7823        | 21.6  | 54   | 5.7224          | 19.8      |
| 5.7583        | 22.4  | 56   | 5.7002          | 19.8      |
| 5.7369        | 23.2  | 58   | 5.6811          | 19.8      |
| 5.7185        | 24.0  | 60   | 5.6649          | 19.8      |
| 5.7031        | 24.8  | 62   | 5.6513          | 19.8      |
| 5.6902        | 25.6  | 64   | 5.6405          | 19.8      |
| 5.6802        | 26.4  | 66   | 5.6326          | 19.8      |
| 5.6733        | 27.2  | 68   | 5.6276          | 19.8      |
| 5.6688        | 28.0  | 70   | 5.6255          | 19.8      |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1