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FLAN-T5-QASPER-NLP-Paper-to-Question-Generation-answer-input
UNIST-Eunchan/FLAN-T5-QASPER-NLP-Paper-to-Question-Generation-answer-input
FLAN-T5-QASPER-NLP-Paper-to-Question-Generation-answer-input is a machine learning model from UNIST-Eunchan. 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
- Nov 29, 2023
- Updated
- Nov 29, 2023
- SHA
- b232456b
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-QASPER-NLP-Paper-to-Question-Generation-answer-input
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0746
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 184
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.99 | 46 | 39.0024 |
| 33.7249 | 1.99 | 92 | 18.8406 |
| 33.7249 | 2.98 | 138 | 5.0432 |
| 8.9783 | 3.97 | 184 | 0.1579 |
| 8.9783 | 4.97 | 230 | 0.0941 |
| 0.1833 | 5.96 | 276 | 0.0810 |
| 0.1833 | 6.95 | 322 | 0.0756 |
| 0.1047 | 7.95 | 368 | 0.0746 |
| 0.1047 | 8.94 | 414 | 0.0746 |
| 0.0995 | 9.93 | 460 | 0.0746 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Nov 29, 2023
- Updated
- Nov 29, 2023