transformers safetensors vision-encoder-decoder generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Image_Captioner
  results: []
---

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# 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
