---
license: mit
tags:
- generated_from_trainer
model-index:
- name: git-base-coco-dummy-temp12
  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-coco-dummy-temp12

This model is a fine-tuned version of [microsoft/git-base-coco](https://huggingface.co/microsoft/git-base-coco) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3199
- Wer Score: 2.1457

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 7.2365        | 3.23  | 50   | 4.6009          | 2.7286    |
| 2.7457        | 6.45  | 100  | 0.9830          | 2.0444    |
| 0.5898        | 9.68  | 150  | 0.4162          | 1.9788    |
| 0.2845        | 12.9  | 200  | 0.3463          | 2.3103    |
| 0.1764        | 16.13 | 250  | 0.3227          | 2.3805    |
| 0.1162        | 19.35 | 300  | 0.3167          | 2.3759    |
| 0.0856        | 22.58 | 350  | 0.3144          | 2.2456    |
| 0.065         | 25.81 | 400  | 0.3138          | 2.3201    |
| 0.0513        | 29.03 | 450  | 0.3149          | 2.1917    |
| 0.0435        | 32.26 | 500  | 0.3163          | 2.1561    |
| 0.0363        | 35.48 | 550  | 0.3162          | 2.1466    |
| 0.0312        | 38.71 | 600  | 0.3179          | 2.1793    |
| 0.0286        | 41.94 | 650  | 0.3200          | 2.2413    |
| 0.0267        | 45.16 | 700  | 0.3204          | 2.1061    |
| 0.0255        | 48.39 | 750  | 0.3199          | 2.1457    |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3