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T5-base-finetuned-cuad
mrm8488/T5-base-finetuned-cuad
T5-base-finetuned-cuad is a machine learning model from mrm8488. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Mar 27, 2023
- SHA
- 3b9f7eb5
Datasets
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. -->
T5-base fine-tuned on CUAD for Legal Contract Review (via QA)
This model is a fine-tuned version of t5-base on the cuad dataset. It achieves the following results on the evaluation set:
- Loss: 0.2209
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2809 | 1.0 | 2795 | 0.2331 |
| 0.2459 | 2.0 | 5590 | 0.2253 |
| 0.2355 | 3.0 | 8385 | 0.2220 |
| 0.2212 | 4.0 | 11180 | 0.2203 |
| 0.2068 | 5.0 | 13975 | 0.2197 |
| 0.2085 | 6.0 | 16770 | 0.2194 |
| 0.1968 | 7.0 | 19565 | 0.2199 |
| 0.1906 | 8.0 | 22360 | 0.2200 |
| 0.1909 | 9.0 | 25155 | 0.2208 |
| 0.1788 | 10.0 | 27950 | 0.2209 |
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
- Library
- transformers
- Type
- t5
- License
- mit
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Mar 27, 2023