---
library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-www
  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-www

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: 0.5009
- Wer Score: 8.6345

## 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: 8
- total_train_batch_size: 16
- 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 |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 3.6172        | 2.64    | 50   | 4.5571          | 0.9603    |
| 1.2455        | 5.2667  | 100  | 0.7764          | 0.9629    |
| 0.2488        | 7.9067  | 150  | 0.4500          | 1.2879    |
| 0.1652        | 10.5333 | 200  | 0.4539          | 2.7259    |
| 0.1242        | 13.16   | 250  | 0.4558          | 1.0871    |
| 0.0958        | 15.8    | 300  | 0.4580          | 2.2966    |
| 0.074         | 18.4267 | 350  | 0.4629          | 4.6957    |
| 0.0633        | 21.0533 | 400  | 0.4711          | 2.5060    |
| 0.0505        | 23.6933 | 450  | 0.4758          | 4.9060    |
| 0.0435        | 26.32   | 500  | 0.4796          | 4.9629    |
| 0.0383        | 28.96   | 550  | 0.4866          | 4.8526    |
| 0.0316        | 31.5867 | 600  | 0.4893          | 7.25      |
| 0.0284        | 34.2133 | 650  | 0.4927          | 4.5267    |
| 0.0261        | 36.8533 | 700  | 0.4954          | 7.6767    |
| 0.0228        | 39.48   | 750  | 0.4967          | 8.1853    |
| 0.0216        | 42.1067 | 800  | 0.4981          | 5.2336    |
| 0.0209        | 44.7467 | 850  | 0.4997          | 8.6957    |
| 0.0192        | 47.3733 | 900  | 0.5008          | 8.5552    |
| 0.0203        | 50.0    | 950  | 0.5009          | 8.6345    |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2