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T5LegalAbstractiveSummarization
12345deena/T5LegalAbstractiveSummarization
T5LegalAbstractiveSummarization is a machine learning model from 12345deena. 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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.json2.4 MB · 66%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 2, 2024
- Updated
- Apr 2, 2024
- SHA
- 2d6ba343
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. -->
T5LegalAbstractiveSummarization
This model is a fine-tuned version of AathifMohammed/t5baseflan on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3609
- Rouge1: 46.0257
- Rouge2: 19.7049
- Rougel: 27.1994
- Rougelsum: 41.5335
- Gen Len: 269.53
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 32 | 2.3728 | 46.5257 | 20.1572 | 27.2915 | 41.9231 | 268.37 |
| No log | 2.0 | 64 | 2.3723 | 46.6356 | 20.2894 | 27.4219 | 42.0149 | 267.67 |
| No log | 3.0 | 96 | 2.3711 | 46.6278 | 20.272 | 27.4113 | 42.0144 | 268.32 |
| No log | 4.0 | 128 | 2.3692 | 46.5747 | 20.2018 | 27.4114 | 41.8886 | 270.68 |
| No log | 5.0 | 160 | 2.3671 | 46.3585 | 19.8511 | 27.1805 | 41.627 | 271.06 |
| No log | 6.0 | 192 | 2.3652 | 46.1954 | 19.7736 | 27.1616 | 41.5316 | 270.98 |
| No log | 7.0 | 224 | 2.3636 | 46.1564 | 19.6929 | 27.1374 | 41.5196 | 269.82 |
| No log | 8.0 | 256 | 2.3622 | 46.1804 | 19.7607 | 27.2296 | 41.6105 | 270.93 |
| No log | 9.0 | 288 | 2.3613 | 45.9359 | 19.5433 | 27.1402 | 41.4038 | 269.49 |
| No log | 10.0 | 320 | 2.3609 | 46.0257 | 19.7049 | 27.1994 | 41.5335 | 269.53 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Apr 2, 2024
- Updated
- Apr 2, 2024