Downloads · 30 days
11
26% of all-time downloads
NegativeThaiNews_test1
tjkmitl/NegativeThaiNews_test1
NegativeThaiNews_test1 is a machine learning model from tjkmitl. 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
43
Public
Parameters
582M
2.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.3 GB · 99%
At a glance
- Library
- transformers
- Model type
- mt5
- Access
- Public
- Created
- Nov 4, 2023
- Updated
- Nov 4, 2023
- SHA
- ebd29909
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. -->
NegativeThaiNews_test1
This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4056
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5843 | 2.5 | 500 | 3.4673 |
| 2.8438 | 5.0 | 1000 | 3.4056 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- mt5
- Created
- Nov 4, 2023
- Updated
- Nov 4, 2023