---
base_model: google/flan-t5-large
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large-invoice
  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. -->

# flan-t5-large-invoice

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7345
- Rouge1: 20.6872
- Rouge2: 8.404
- Rougel: 16.4285
- Rougelsum: 18.8189
- Gen Len: 19.0

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.779         | 1.0   | 933   | 1.3862          | 19.5863 | 7.7096 | 15.7946 | 18.3055   | 19.0    |
| 1.3799        | 2.0   | 1866  | 1.3274          | 19.6876 | 6.7441 | 15.804  | 17.8499   | 19.0    |
| 1.2505        | 3.0   | 2799  | 1.3099          | 19.8912 | 7.0276 | 16.3826 | 17.8505   | 19.0    |
| 1.1726        | 4.0   | 3732  | 1.3136          | 20.9896 | 8.5214 | 16.7944 | 19.2926   | 19.0    |
| 1.0985        | 5.0   | 4665  | 1.3205          | 20.5499 | 7.9224 | 16.3301 | 18.519    | 19.0    |
| 1.0439        | 6.0   | 5598  | 1.3297          | 20.8897 | 7.6685 | 16.6002 | 19.1149   | 19.0    |
| 0.9912        | 7.0   | 6531  | 1.3515          | 21.0205 | 7.9648 | 16.6663 | 19.1507   | 19.0    |
| 0.922         | 8.0   | 7464  | 1.3819          | 20.0508 | 7.0989 | 16.2521 | 18.2977   | 19.0    |
| 0.8729        | 9.0   | 8397  | 1.4222          | 20.3315 | 8.1219 | 16.5236 | 18.8624   | 19.0    |
| 0.8353        | 10.0  | 9330  | 1.4372          | 19.3277 | 7.4633 | 15.5985 | 17.6354   | 19.0    |
| 0.7928        | 11.0  | 10263 | 1.4851          | 20.1063 | 7.9988 | 16.0191 | 18.3571   | 19.0    |
| 0.7561        | 12.0  | 11196 | 1.5084          | 20.6322 | 7.2781 | 16.3066 | 18.8342   | 19.0    |
| 0.7251        | 13.0  | 12129 | 1.5437          | 21.4814 | 8.1047 | 17.0497 | 19.8034   | 19.0    |
| 0.692         | 14.0  | 13062 | 1.5802          | 21.1577 | 8.0934 | 16.738  | 19.2418   | 19.0    |
| 0.668         | 15.0  | 13995 | 1.6349          | 19.8489 | 7.7261 | 15.8122 | 18.0971   | 19.0    |
| 0.6237        | 16.0  | 14928 | 1.6246          | 20.8915 | 8.2484 | 16.8627 | 19.0533   | 19.0    |
| 0.6166        | 17.0  | 15861 | 1.6662          | 20.3532 | 8.2927 | 16.2535 | 18.5981   | 19.0    |
| 0.5973        | 18.0  | 16794 | 1.6963          | 20.4374 | 7.9296 | 16.2445 | 18.4927   | 19.0    |
| 0.581         | 19.0  | 17727 | 1.7168          | 20.6517 | 8.3175 | 16.4803 | 18.8024   | 19.0    |
| 0.5704        | 20.0  | 18660 | 1.7345          | 20.6872 | 8.404  | 16.4285 | 18.8189   | 19.0    |


### Framework versions

- Transformers 4.43.2
- Pytorch 2.2.0a0+81ea7a4
- Datasets 2.20.0
- Tokenizers 0.19.1