---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-instagram-captions
  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-instagram-captions

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: 2.8334
- Wer Score: 13.4415

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer Score |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 4.3503        | 0.3556  | 20   | 4.0231          | 13.3087   |
| 3.2554        | 0.7111  | 40   | 3.0955          | 14.7696   |
| 2.7452        | 1.0667  | 60   | 2.5707          | 11.9736   |
| 1.916         | 1.4222  | 80   | 2.4606          | 14.1495   |
| 2.0349        | 1.7778  | 100  | 2.4337          | 15.4433   |
| 1.7522        | 2.1333  | 120  | 2.4274          | 13.5215   |
| 1.5496        | 2.4889  | 140  | 2.4298          | 13.0932   |
| 1.554         | 2.8444  | 160  | 2.4232          | 14.4336   |
| 1.3561        | 3.2     | 180  | 2.4537          | 13.2498   |
| 1.2081        | 3.5556  | 200  | 2.4563          | 14.3843   |
| 1.1593        | 3.9111  | 220  | 2.4378          | 14.3703   |
| 1.0503        | 4.2667  | 240  | 2.4849          | 14.6614   |
| 1.0292        | 4.6222  | 260  | 2.4937          | 14.5066   |
| 1.092         | 4.9778  | 280  | 2.4853          | 14.2252   |
| 0.8704        | 5.3333  | 300  | 2.5228          | 13.2709   |
| 0.8933        | 5.6889  | 320  | 2.5363          | 14.3369   |
| 0.8494        | 6.0444  | 340  | 2.5329          | 16.8566   |
| 0.7886        | 6.4     | 360  | 2.5424          | 13.8083   |
| 0.8338        | 6.7556  | 380  | 2.5585          | 13.6931   |
| 0.7756        | 7.1111  | 400  | 2.5856          | 14.4222   |
| 0.6575        | 7.4667  | 420  | 2.5890          | 13.6350   |
| 0.6793        | 7.8222  | 440  | 2.5833          | 14.1258   |
| 0.6439        | 8.1778  | 460  | 2.6046          | 15.0616   |
| 0.597         | 8.5333  | 480  | 2.6183          | 13.7511   |
| 0.6157        | 8.8889  | 500  | 2.6166          | 15.7696   |
| 0.6132        | 9.2444  | 520  | 2.6466          | 17.8857   |
| 0.5666        | 9.6     | 540  | 2.6472          | 16.8452   |
| 0.5691        | 9.9556  | 560  | 2.6456          | 13.7449   |
| 0.529         | 10.3111 | 580  | 2.6676          | 14.5945   |
| 0.5286        | 10.6667 | 600  | 2.6727          | 13.7344   |
| 0.5339        | 11.0222 | 620  | 2.6706          | 14.9833   |
| 0.4967        | 11.3778 | 640  | 2.6928          | 13.9587   |
| 0.459         | 11.7333 | 660  | 2.7035          | 14.5708   |
| 0.5117        | 12.0889 | 680  | 2.7064          | 14.3026   |
| 0.4424        | 12.4444 | 700  | 2.7304          | 14.0836   |
| 0.4829        | 12.8    | 720  | 2.7175          | 14.7573   |
| 0.4308        | 13.1556 | 740  | 2.7129          | 14.5928   |
| 0.3871        | 13.5111 | 760  | 2.7333          | 14.1328   |
| 0.4238        | 13.8667 | 780  | 2.7319          | 14.1759   |
| 0.4141        | 14.2222 | 800  | 2.7605          | 14.0580   |
| 0.3435        | 14.5778 | 820  | 2.7604          | 13.6966   |
| 0.3807        | 14.9333 | 840  | 2.7634          | 13.7836   |
| 0.3293        | 15.2889 | 860  | 2.7802          | 13.9120   |
| 0.3244        | 15.6444 | 880  | 2.7760          | 13.5101   |
| 0.3289        | 16.0    | 900  | 2.7884          | 13.5409   |
| 0.2768        | 16.3556 | 920  | 2.7946          | 13.7801   |
| 0.2825        | 16.7111 | 940  | 2.7988          | 14.1662   |
| 0.3059        | 17.0667 | 960  | 2.8092          | 13.6667   |
| 0.2279        | 17.4222 | 980  | 2.8253          | 13.7704   |
| 0.2283        | 17.7778 | 1000 | 2.8236          | 13.7256   |
| 0.2293        | 18.1333 | 1020 | 2.8174          | 13.1741   |
| 0.1934        | 18.4889 | 1040 | 2.8220          | 13.5479   |
| 0.1927        | 18.8444 | 1060 | 2.8225          | 13.6324   |
| 0.1794        | 19.2    | 1080 | 2.8343          | 13.4195   |
| 0.169         | 19.5556 | 1100 | 2.8345          | 13.3967   |
| 0.1724        | 19.9111 | 1120 | 2.8334          | 13.4415   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1