Downloads · 30 days
42
9% of all-time downloads
mt5_summarize_japanese-6051-japanese
ryusangwon/mt5_summarize_japanese-6051-japanese
mt5_summarize_japanese-6051-japanese is a machine learning model from ryusangwon. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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. --
All-time downloads
454
Public
Parameters
300M
1.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.4 GB · 98%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Jan 30, 2024
- Updated
- Jan 30, 2024
- SHA
- 766e479d
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_summarize_japanese-6051-japanese
This model is a fine-tuned version of tsmatz/mt5_summarize_japanese on the xlsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.1045
- Rouge1: 0.3394
- Rouge2: 0.0501
- Rougel: 0.3328
- Rougelsum: 0.3321
- Gen Len: 31.8808
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.3889 | 4.5 | 500 | 1.1112 | 0.3381 | 0.05 | 0.3306 | 0.3302 | 31.3127 |
| 1.3351 | 8.99 | 1000 | 1.1045 | 0.3394 | 0.0501 | 0.3328 | 0.3321 | 31.8808 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jan 30, 2024
- Updated
- Jan 30, 2024