Downloads · 30 days
118
4% of all-time downloads
indo-t5-base
LazarusNLP/indo-t5-base
indo-t5-base is a machine learning model from LazarusNLP. 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
2.7K
Public
Parameters
582M
14 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin2.3 GB · 50%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Mar 21, 2023
- Updated
- Dec 15, 2024
- SHA
- ce7adde3
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. -->
indo-t5-base
This model is a fine-tuned version of google/mt5-base on the lazarus-project/alkitab-sabda-mt dataset. It achieves the following results on the evaluation set:
- Loss: 1.5657
- Bleu: 18.7296
- Gen Len: 49.6657
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: 0.0008
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 4096
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.5774 | 7.64 | 1000 | 1.5461 | 3.3312 | 18.8762 |
| 1.137 | 15.28 | 2000 | 1.4426 | 3.8148 | 18.8755 |
| 0.9109 | 22.92 | 3000 | 1.4754 | 3.9571 | 18.8752 |
| 0.7807 | 30.56 | 4000 | 1.5373 | 3.9767 | 18.8761 |
| 0.7288 | 38.2 | 5000 | 1.5657 | 3.9838 | 18.8778 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.0+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 21, 2023
- Updated
- Dec 15, 2024