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---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Image_Captioner
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. -->
# Image_Captioner
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0923
- Rouge1: 25.0369
- Rouge2: 10.1572
- Rougel: 21.5244
- Rougelsum: 24.0775
- Gen Len: 18.9946
## 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
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.253 | 1.0 | 836 | 0.1372 | 29.3958 | 12.2981 | 25.5129 | 27.9289 | 19.0 |
| 0.1361 | 2.0 | 1672 | 0.1151 | 25.8361 | 12.2894 | 23.7346 | 25.47 | 19.0 |
| 0.115 | 3.0 | 2508 | 0.1037 | 25.1859 | 11.9032 | 23.1038 | 24.8338 | 19.0 |
| 0.1027 | 4.0 | 3344 | 0.0942 | 26.0345 | 12.0324 | 23.4843 | 25.5426 | 19.0 |
| 0.0873 | 5.0 | 4180 | 0.0864 | 26.1657 | 11.685 | 23.6563 | 25.6247 | 19.0 |
| 0.0742 | 6.0 | 5016 | 0.0794 | 24.3621 | 10.5113 | 21.7192 | 23.8253 | 19.0 |
| 0.0646 | 7.0 | 5852 | 0.0740 | 24.711 | 11.194 | 22.2089 | 24.1793 | 19.0 |
| 0.0542 | 8.0 | 6688 | 0.0690 | 25.0339 | 10.8651 | 22.171 | 24.4106 | 19.0 |
| 0.046 | 9.0 | 7524 | 0.0650 | 25.0982 | 11.8399 | 22.701 | 24.623 | 18.9987 |
| 0.0386 | 10.0 | 8360 | 0.0623 | 26.2563 | 10.4715 | 22.5319 | 25.1412 | 18.9987 |
| 0.0317 | 11.0 | 9196 | 0.0591 | 26.4001 | 11.8031 | 23.1653 | 25.2856 | 18.9919 |
| 0.0273 | 12.0 | 10032 | 0.0587 | 25.6521 | 11.0174 | 22.7327 | 24.9068 | 18.9879 |
| 0.0231 | 13.0 | 10868 | 0.0583 | 26.7035 | 11.2021 | 23.0121 | 25.6384 | 18.9946 |
| 0.0195 | 14.0 | 11704 | 0.0592 | 25.5747 | 10.7424 | 22.3673 | 24.6944 | 19.0 |
| 0.0167 | 15.0 | 12540 | 0.0608 | 25.3022 | 10.163 | 21.9556 | 24.3587 | 18.9596 |
| 0.0142 | 16.0 | 13376 | 0.0614 | 25.0496 | 10.0656 | 21.7629 | 24.1094 | 18.9206 |
| 0.0119 | 17.0 | 14212 | 0.0618 | 26.0112 | 10.2519 | 22.1926 | 24.8873 | 18.8735 |
| 0.0102 | 18.0 | 15048 | 0.0653 | 25.6183 | 10.04 | 22.1136 | 24.5255 | 18.9125 |
| 0.0086 | 19.0 | 15884 | 0.0671 | 24.7352 | 9.6328 | 21.0675 | 23.7704 | 18.8694 |
| 0.0076 | 20.0 | 16720 | 0.0693 | 24.9512 | 9.6635 | 21.4761 | 23.9132 | 18.9112 |
| 0.0067 | 21.0 | 17556 | 0.0708 | 24.1732 | 9.158 | 20.3408 | 23.029 | 18.8358 |
| 0.0058 | 22.0 | 18392 | 0.0732 | 24.4503 | 9.4394 | 20.8584 | 23.4242 | 18.8035 |
| 0.0048 | 23.0 | 19228 | 0.0738 | 24.8844 | 9.9125 | 21.3509 | 23.9336 | 18.8089 |
| 0.0043 | 24.0 | 20064 | 0.0777 | 25.5401 | 10.1857 | 21.8328 | 24.4294 | 18.9058 |
| 0.0038 | 25.0 | 20900 | 0.0781 | 24.2235 | 9.0445 | 20.4463 | 23.0001 | 18.9166 |
| 0.0033 | 26.0 | 21736 | 0.0801 | 25.0127 | 9.8025 | 21.3116 | 23.9683 | 18.7308 |
| 0.0029 | 27.0 | 22572 | 0.0807 | 24.5765 | 9.6283 | 20.9556 | 23.4559 | 18.9166 |
| 0.0027 | 28.0 | 23408 | 0.0830 | 24.8389 | 9.8899 | 21.4027 | 23.9416 | 18.9233 |
| 0.0024 | 29.0 | 24244 | 0.0833 | 25.3695 | 10.162 | 21.7865 | 24.3737 | 18.7106 |
| 0.0022 | 30.0 | 25080 | 0.0832 | 24.8804 | 10.0825 | 21.4621 | 24.0326 | 18.9287 |
| 0.0021 | 31.0 | 25916 | 0.0853 | 25.0049 | 9.7036 | 21.3664 | 23.9173 | 18.9044 |
| 0.0019 | 32.0 | 26752 | 0.0855 | 25.0529 | 9.4994 | 21.2781 | 24.0076 | 18.9125 |
| 0.002 | 33.0 | 27588 | 0.0852 | 24.8417 | 9.9376 | 21.2526 | 23.8552 | 18.9031 |
| 0.0015 | 34.0 | 28424 | 0.0857 | 24.6359 | 9.5179 | 20.8941 | 23.4553 | 18.8937 |
| 0.0014 | 35.0 | 29260 | 0.0858 | 25.1156 | 10.1869 | 21.5805 | 23.9664 | 18.8156 |
| 0.0013 | 36.0 | 30096 | 0.0871 | 24.739 | 9.5548 | 21.15 | 23.749 | 18.9219 |
| 0.0011 | 37.0 | 30932 | 0.0884 | 24.774 | 9.7848 | 21.2467 | 23.833 | 18.9556 |
| 0.0011 | 38.0 | 31768 | 0.0889 | 25.2656 | 9.9796 | 21.517 | 24.1836 | 18.9462 |
| 0.0011 | 39.0 | 32604 | 0.0895 | 24.6627 | 9.3783 | 20.9288 | 23.5835 | 18.9704 |
| 0.001 | 40.0 | 33440 | 0.0906 | 25.1326 | 9.814 | 21.3593 | 24.0816 | 18.9260 |
| 0.0009 | 41.0 | 34276 | 0.0900 | 25.6889 | 10.3712 | 22.0588 | 24.695 | 18.9731 |
| 0.0008 | 42.0 | 35112 | 0.0911 | 24.6819 | 9.8307 | 21.1335 | 23.7053 | 18.9071 |
| 0.0008 | 43.0 | 35948 | 0.0905 | 24.4835 | 9.7292 | 21.017 | 23.5027 | 18.9623 |
| 0.0007 | 44.0 | 36784 | 0.0910 | 24.8203 | 9.5875 | 21.245 | 23.7718 | 18.9825 |
| 0.0007 | 45.0 | 37620 | 0.0914 | 25.1212 | 10.1024 | 21.6215 | 24.1061 | 18.9771 |
| 0.0006 | 46.0 | 38456 | 0.0914 | 25.1636 | 9.8127 | 21.5343 | 24.13 | 18.9475 |
| 0.0006 | 47.0 | 39292 | 0.0915 | 24.866 | 9.8427 | 21.3531 | 23.8643 | 18.9394 |
| 0.0006 | 48.0 | 40128 | 0.0916 | 25.064 | 10.049 | 21.5198 | 24.1158 | 18.9731 |
| 0.0005 | 49.0 | 40964 | 0.0923 | 24.8424 | 9.9718 | 21.3263 | 23.9031 | 18.9933 |
| 0.0005 | 50.0 | 41800 | 0.0923 | 25.0369 | 10.1572 | 21.5244 | 24.0775 | 18.9946 |
### Framework versions
- Transformers 4.37.1
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.1
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