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flan-t5-base-par3-075sim-shuffled
paraphrazer/flan-t5-base-par3-075sim-shuffled
flan-t5-base-par3-075sim-shuffled is a machine learning model from paraphrazer. 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
- Apr 30, 2023
- Updated
- Apr 30, 2023
- SHA
- a5ebf277
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-base-par3-075sim-shuffled
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3693
- Rouge1: 53.5765
- Rouge2: 34.6724
- Rougel: 50.4148
- Rougelsum: 50.8647
- Gen Len: 16.6961
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|---|
| 1.5506 | 1.0 | 5033 | 16.7189 | 1.4021 | 53.3112 | 34.3583 | 50.0466 | 50.5797 |
| 1.4764 | 2.0 | 10066 | 1.3751 | 53.522 | 34.5861 | 50.3606 | 50.8109 | 16.6965 |
| 1.4411 | 3.0 | 15099 | 1.3693 | 53.5765 | 34.6724 | 50.4148 | 50.8647 | 16.6961 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 30, 2023
- Updated
- Apr 30, 2023