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t5-large-paraphase-finetuned
vandung/t5-large-paraphase-finetuned
t5-large-paraphase-finetuned is a machine learning model from vandung. 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
- Aug 12, 2023
- Updated
- Aug 12, 2023
- SHA
- 85122ee1
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. -->
t5-large-paraphase-finetuned
This model is a fine-tuned version of VietAI/vit5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0026
- Rouge1: 73.1728
- Rouge2: 57.3725
- Rougel: 69.3976
- Rougelsum: 69.3849
- Gen Len: 9.0143
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: 2e-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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.0441 | 1.0 | 1969 | 1.0026 | 73.1728 | 57.3725 | 69.3976 | 69.3849 | 9.0143 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Aug 12, 2023
- Updated
- Aug 12, 2023