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mt5-base-finetuned-xlsum-zh-en
kani1021/mt5-base-finetuned-xlsum-zh-en
mt5-base-finetuned-xlsum-zh-en is a summarization model from kani1021. 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
- Mar 7, 2025
- Updated
- Mar 7, 2025
- SHA
- 732915d0
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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. -->
mt5-base-finetuned-xlsum-zh-en
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8289
- Rouge1: 16.442
- Rouge2: 3.9602
- Rougel: 13.7535
- Rougelsum: 13.8249
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 6.7404 | 1.0 | 250 | 2.9751 | 11.0247 | 2.0376 | 8.8713 | 8.8683 |
| 3.7772 | 2.0 | 500 | 2.8667 | 13.3444 | 2.5848 | 10.5113 | 10.5307 |
| 3.489 | 3.0 | 750 | 2.8459 | 14.7042 | 3.2828 | 12.1022 | 12.0708 |
| 3.3125 | 4.0 | 1000 | 2.8361 | 14.7435 | 3.4802 | 11.9489 | 12.0336 |
| 3.2107 | 5.0 | 1250 | 2.8215 | 16.05 | 3.4239 | 13.6702 | 13.7339 |
| 3.1378 | 6.0 | 1500 | 2.8289 | 16.442 | 3.9602 | 13.7535 | 13.8249 |
| 3.0887 | 7.0 | 1750 | 2.8294 | 16.1141 | 3.4215 | 13.3288 | 13.4566 |
| 3.064 | 8.0 | 2000 | 2.8249 | 16.2375 | 3.5607 | 13.5455 | 13.6299 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.2.2+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 7, 2025
- Updated
- Mar 7, 2025