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---
library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: git-base-one-5e-5-25
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-one-5e-5-25
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: 3.8238
- Wer Score: 5.8
## 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: 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: 25
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log | 1.25 | 5 | 9.5084 | 50.1 |
| 9.9196 | 2.5 | 10 | 8.4842 | 64.85 |
| 9.9196 | 3.75 | 15 | 7.9215 | 67.6 |
| 8.0697 | 5.0 | 20 | 7.4826 | 66.45 |
| 8.0697 | 6.25 | 25 | 7.0776 | 53.95 |
| 7.2067 | 7.5 | 30 | 6.6926 | 18.05 |
| 7.2067 | 8.75 | 35 | 6.3268 | 17.6 |
| 6.4594 | 10.0 | 40 | 5.9807 | 19.8 |
| 6.4594 | 11.25 | 45 | 5.6568 | 19.35 |
| 5.7908 | 12.5 | 50 | 5.3563 | 6.15 |
| 5.7908 | 13.75 | 55 | 5.0803 | 6.2 |
| 5.2135 | 15.0 | 60 | 4.8305 | 5.8 |
| 5.2135 | 16.25 | 65 | 4.6068 | 5.75 |
| 4.7358 | 17.5 | 70 | 4.4111 | 5.8 |
| 4.7358 | 18.75 | 75 | 4.2427 | 5.8 |
| 4.3652 | 20.0 | 80 | 4.1027 | 5.8 |
| 4.3652 | 21.25 | 85 | 3.9908 | 5.8 |
| 4.1076 | 22.5 | 90 | 3.9070 | 5.8 |
| 4.1076 | 23.75 | 95 | 3.8515 | 5.8 |
| 3.9616 | 25.0 | 100 | 3.8238 | 5.8 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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