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mt5-small-summarizer-finetuned
shamweel/mt5-small-summarizer-finetuned
mt5-small-summarizer-finetuned is a summarization model from shamweel. 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
- Aug 7, 2022
- Updated
- Aug 7, 2022
- SHA
- d92c50be
Try a prompt
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-small-summarizer-finetuned
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0158
- Rouge1: 17.7167
- Rouge2: 8.7443
- Rougel: 17.4487
- Rougelsum: 17.4013
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: 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 6.8514 | 1.0 | 1209 | 3.2992 | 14.7682 | 6.17 | 14.2741 | 14.2171 |
| 3.8706 | 2.0 | 2418 | 3.1206 | 16.1753 | 7.7142 | 15.436 | 15.5325 |
| 3.5426 | 3.0 | 3627 | 3.0748 | 17.9388 | 8.786 | 17.3878 | 17.3805 |
| 3.3773 | 4.0 | 4836 | 3.0461 | 16.79 | 7.9251 | 16.4337 | 16.3482 |
| 3.2734 | 5.0 | 6045 | 3.0438 | 17.201 | 8.2405 | 16.9939 | 16.9181 |
| 3.194 | 6.0 | 7254 | 3.0227 | 17.3508 | 8.4746 | 17.0519 | 17.0831 |
| 3.1556 | 7.0 | 8463 | 3.0201 | 17.6119 | 8.686 | 17.3536 | 17.3228 |
| 3.1256 | 8.0 | 9672 | 3.0158 | 17.7167 | 8.7443 | 17.4487 | 17.4013 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Aug 7, 2022
- Updated
- Aug 7, 2022