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t5-tweet-sum
drigger/t5-tweet-sum
t5-tweet-sum is a machine learning model from drigger. 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 14, 2023
- Updated
- Apr 14, 2023
- SHA
- 5cc59dbe
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-tweet-sum
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6148
- Rouge1: 31.4255
- Rouge2: 15.9836
- Rougel: 27.4891
- Rougelsum: 29.7407
- Gen Len: 18.8972
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- 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 | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.3357 | 1.0 | 750 | 1.5571 | 31.627 | 15.933 | 27.6339 | 29.8606 | 19.0 |
| 1.574 | 2.0 | 1500 | 1.5342 | 32.2002 | 16.72 | 28.6385 | 30.6897 | 18.9944 |
| 1.2704 | 3.0 | 2250 | 1.6148 | 31.4255 | 15.9836 | 27.4891 | 29.7407 | 18.8972 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 14, 2023
- Updated
- Apr 14, 2023