Downloads · 30 days
30
2% of all-time downloads
t5-base-xlsum-ja
p1atdev/t5-base-xlsum-ja
t5-base-xlsum-ja is a summarization model from p1atdev. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.6K
Public
Parameters
248M
5 GB on disk
Likes
2
Public
Repo makeup
Click a slice to open those files.
.bin495 MB · 50%
At a glance
- Task
- Summarization
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- t5
- Access
- Public
- Created
- Oct 6, 2023
- Updated
- Nov 20, 2023
- SHA
- 8be31b05
Try a prompt
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. -->
t5-base-xlsum-ja
This model is a fine-tuned version of retrieva-jp/t5-base-long on the xlsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.6563
- Rouge1: 0.3648
- Rouge2: 0.1641
- Rougel: 0.2965
- Rougelsum: 0.3132
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 4.9166 | 1.8 | 100 | 3.4095 | 0.3569 | 0.1509 | 0.2416 | 0.3209 |
| 4.1162 | 3.61 | 200 | 3.0980 | 0.3262 | 0.1354 | 0.2557 | 0.2805 |
| 3.8578 | 5.41 | 300 | 2.8853 | 0.3428 | 0.1445 | 0.2628 | 0.2881 |
| 3.7309 | 7.22 | 400 | 2.7714 | 0.3621 | 0.1615 | 0.2951 | 0.3151 |
| 3.6716 | 9.02 | 500 | 2.7042 | 0.3727 | 0.1668 | 0.2982 | 0.3225 |
| 3.6393 | 10.82 | 600 | 2.6666 | 0.3676 | 0.1592 | 0.2987 | 0.3206 |
| 3.6291 | 12.63 | 700 | 2.6587 | 0.3654 | 0.1576 | 0.2955 | 0.3108 |
| 3.6224 | 14.43 | 800 | 2.6563 | 0.3648 | 0.1641 | 0.2965 | 0.3132 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- cc-by-sa-4.0
- Languages
- ja
- Created
- Oct 6, 2023
- Updated
- Nov 20, 2023