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---
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
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