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longt5_xl_govreport_4096_memsum_e30
learn3r/longt5_xl_govreport_4096_memsum_e30
longt5_xl_govreport_4096_memsum_e30 is a machine learning model from learn3r. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- longt5
- Access
- Public
- Created
- Jan 1, 2024
- Updated
- Jan 3, 2024
- SHA
- baee2c2b
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. -->
longt5_xl_govreport_4096_memsum_e30
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9364
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1073 | 1.0 | 68 | 2.4897 |
| 0.0937 | 1.99 | 136 | 2.7041 |
| 0.0879 | 2.99 | 204 | 2.6437 |
| 0.0821 | 3.99 | 272 | 2.8059 |
| 0.0693 | 5.0 | 341 | 2.9269 |
| 0.0675 | 6.0 | 409 | 2.8654 |
| 0.0622 | 6.99 | 477 | 2.9698 |
| 0.065 | 7.99 | 545 | 2.8929 |
| 0.0578 | 8.99 | 613 | 2.9282 |
| 0.0528 | 9.97 | 680 | 2.9364 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Library
- transformers
- Type
- longt5
- Created
- Jan 1, 2024
- Updated
- Jan 3, 2024