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mt5-small-finetuned-amazon-zh-full
dltsj/mt5-small-finetuned-amazon-zh-full
mt5-small-finetuned-amazon-zh-full is a summarization model from dltsj. 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
- Apr 15, 2023
- Updated
- Apr 15, 2023
- SHA
- 131bf9b5
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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-small-finetuned-amazon-zh-full
This model is a fine-tuned version of google/mt5-small on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 3.2111
- Rouge1: 10.2419
- Rouge2: 4.7619
- Rougel: 10.2419
- Rougelsum: 10.2419
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 11.4787 | 1.0 | 229 | 4.4488 | 3.1349 | 1.3605 | 3.1349 | 3.1349 |
| 4.8938 | 2.0 | 458 | 3.7642 | 8.2011 | 2.381 | 8.2011 | 8.2011 |
| 4.0429 | 3.0 | 687 | 3.6643 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 3.7038 | 4.0 | 916 | 3.5566 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 3.5159 | 5.0 | 1145 | 3.4467 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 3.3715 | 6.0 | 1374 | 3.4368 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 3.2854 | 7.0 | 1603 | 3.3713 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 3.1206 | 8.0 | 1832 | 3.3467 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 3.0899 | 9.0 | 2061 | 3.2809 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 3.0251 | 10.0 | 2290 | 3.2420 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 2.9903 | 11.0 | 2519 | 3.2251 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 2.9599 | 12.0 | 2748 | 3.2408 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 2.9247 | 13.0 | 2977 | 3.2150 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 2.9131 | 14.0 | 3206 | 3.2121 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
| 2.8942 | 15.0 | 3435 | 3.2111 | 10.2419 | 4.7619 | 10.2419 | 10.2419 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Apr 15, 2023
- Updated
- Apr 15, 2023