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mt5-base-xlsum
lljllll2219/mt5-base-xlsum
mt5-base-xlsum is a summarization model from lljllll2219. Use it when you need a shorter version of a longer text. 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
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Oct 17, 2023
- Updated
- Oct 17, 2023
- SHA
- 867bf733
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Base models
Datasets
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. -->
mt5-base-xlsum
This model is a fine-tuned version of google/mt5-base on the xlsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.0396
- Rouge1: 2.98
- Rouge2: 0.1333
- Rougel: 3.0267
- Rougelsum: 2.9933
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: 5.6e-05
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 5.3745 | 1.0 | 500 | 2.5041 | 1.0696 | 0.13 | 1.062 | 1.0629 |
| 3.413 | 2.0 | 1000 | 2.2178 | 1.8333 | 0.1333 | 1.84 | 1.8633 |
| 3.1052 | 3.0 | 1500 | 2.0844 | 3.14 | 0.2667 | 3.18 | 3.1733 |
| 2.9673 | 4.0 | 2000 | 2.0396 | 2.98 | 0.1333 | 3.0267 | 2.9933 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Oct 17, 2023
- Updated
- Oct 17, 2023