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flan-t5-large-invoice-medium
Sirshendu3e01/flan-t5-large-invoice-medium
flan-t5-large-invoice-medium is a machine learning model from Sirshendu3e01. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jul 26, 2024
- Updated
- Jul 26, 2024
- SHA
- 575bd37e
Base models
Model card
From the Hugging Face model README
<!-- 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-medium
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8349
- Rouge1: 19.7835
- Rouge2: 11.9308
- Rougel: 17.7862
- Rougelsum: 19.106
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.152 | 1.0 | 950 | 0.6631 | 17.9812 | 8.0615 | 15.6204 | 17.1827 | 19.0 |
| 0.717 | 2.0 | 1900 | 0.6265 | 19.7976 | 11.4928 | 17.5681 | 18.5593 | 19.0 |
| 0.6196 | 3.0 | 2850 | 0.5983 | 18.9511 | 10.8623 | 16.7812 | 17.9926 | 19.0 |
| 0.5513 | 4.0 | 3800 | 0.5915 | 18.8654 | 11.6228 | 17.1068 | 17.8949 | 19.0 |
| 0.5064 | 5.0 | 4750 | 0.5880 | 19.031 | 11.1325 | 16.8401 | 17.8006 | 19.0 |
| 0.4634 | 6.0 | 5700 | 0.5857 | 20.0939 | 12.744 | 18.3823 | 19.164 | 19.0 |
| 0.4224 | 7.0 | 6650 | 0.5931 | 19.34 | 11.8669 | 17.485 | 18.5155 | 19.0 |
| 0.3967 | 8.0 | 7600 | 0.6193 | 19.754 | 11.7313 | 17.6679 | 18.8413 | 19.0 |
| 0.3714 | 9.0 | 8550 | 0.6151 | 19.0538 | 10.7029 | 16.7677 | 18.08 | 19.0 |
| 0.3396 | 10.0 | 9500 | 0.6331 | 18.718 | 11.5101 | 17.2264 | 17.9486 | 19.0 |
| 0.3089 | 11.0 | 10450 | 0.6602 | 19.7598 | 11.5673 | 17.4428 | 18.6642 | 19.0 |
| 0.2924 | 12.0 | 11400 | 0.6828 | 19.3283 | 11.7675 | 17.5987 | 18.5341 | 19.0 |
| 0.2671 | 13.0 | 12350 | 0.7119 | 19.2428 | 11.9232 | 17.6073 | 18.5031 | 19.0 |
| 0.2573 | 14.0 | 13300 | 0.7336 | 19.7283 | 12.3347 | 17.826 | 18.8466 | 19.0 |
| 0.2385 | 15.0 | 14250 | 0.7555 | 19.7352 | 12.007 | 17.7395 | 18.9484 | 19.0 |
| 0.2255 | 16.0 | 15200 | 0.7543 | 19.479 | 11.5607 | 17.492 | 18.6705 | 19.0 |
| 0.2057 | 17.0 | 16150 | 0.7962 | 20.0755 | 12.2036 | 17.9254 | 19.2418 | 19.0 |
| 0.2051 | 18.0 | 17100 | 0.7997 | 19.5207 | 11.4937 | 17.319 | 18.641 | 19.0 |
| 0.1917 | 19.0 | 18050 | 0.8227 | 20.0937 | 12.2065 | 17.787 | 19.2884 | 19.0 |
| 0.1855 | 20.0 | 19000 | 0.8349 | 19.7835 | 11.9308 | 17.7862 | 19.106 | 19.0 |
Framework versions
- Transformers 4.43.2
- Pytorch 2.2.0a0+81ea7a4
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 26, 2024
- Updated
- Jul 26, 2024