---
base_model: microsoft/git-base
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: git-base-bdd100k
  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-bdd100k

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: 0.4317
- Wer Score: 0.7406

## 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: 0.0003
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 20
- optimizer: Use 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 10.8372       | 1.0   | 3    | 10.0676         | 12.2594   |
| 9.8981        | 2.0   | 6    | 8.6733          | 9.4194    |
| 8.1063        | 3.0   | 9    | 6.8677          | 0.8955    |
| 6.5282        | 4.0   | 12   | 5.5489          | 3.5342    |
| 5.2838        | 5.0   | 15   | 4.3715          | 2.2077    |
| 4.16          | 6.0   | 18   | 3.3203          | 3.32      |
| 3.1554        | 7.0   | 21   | 2.3917          | 1.5897    |
| 2.2691        | 8.0   | 24   | 1.6361          | 0.7832    |
| 1.553         | 9.0   | 27   | 1.1034          | 0.7703    |
| 1.0453        | 10.0  | 30   | 0.7820          | 0.7781    |
| 0.7256        | 11.0  | 33   | 0.6073          | 0.7703    |
| 0.5425        | 12.0  | 36   | 0.5168          | 0.7548    |
| 0.4393        | 13.0  | 39   | 0.4689          | 0.7419    |
| 0.3801        | 14.0  | 42   | 0.4449          | 0.7445    |
| 0.3404        | 15.0  | 45   | 0.4317          | 0.7406    |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 3.0.1
- Tokenizers 0.20.1