Downloads · 30 days
13
19% of all-time downloads
wikinews_mt5-thai-sentence-sum
drive087/wikinews_mt5-thai-sentence-sum
wikinews_mt5-thai-sentence-sum is a machine learning model from drive087. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
67
Public
Repo size
8.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.3 GB · 99%
At a glance
- Library
- transformers
- Model type
- mt5
- Access
- Public
- Created
- Mar 8, 2023
- Updated
- Mar 8, 2023
- SHA
- dc6d688b
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. -->
wikinews_model
This model is a fine-tuned version of thanathorn/mt5-cpe-kmutt-thai-sentence-sum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1099
- Rouge1: 0.3228
- Rouge2: 0.1579
- Rougel: 0.3281
- Rougelsum: 0.3263
- Gen Len: 15.0789
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.9441 | 35.71 | 500 | 2.3363 | 0.2632 | 0.1404 | 0.2632 | 0.2632 | 15.7895 |
| 0.2861 | 71.43 | 1000 | 3.0245 | 0.2632 | 0.1404 | 0.2632 | 0.2632 | 16.2105 |
| 0.0995 | 107.14 | 1500 | 3.5794 | 0.2895 | 0.1404 | 0.2895 | 0.2868 | 16.5 |
| 0.0489 | 142.86 | 2000 | 4.1099 | 0.3228 | 0.1579 | 0.3281 | 0.3263 | 15.0789 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- mt5
- Created
- Mar 8, 2023
- Updated
- Mar 8, 2023