metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
datasets:
- id_liputan6
model-index:
- name: mt5-small-sft-liputan6
results: []
mt5-small-sft-liputan6
This model is a fine-tuned version of google/mt5-small on the id_liputan6 dataset. It achieves the following results on the evaluation set:
- Loss: 1.6352
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 1.5476 | 1.0 | 1212 | 1.9948 | 0.0082 |
| 0.9325 | 2.0 | 2424 | 1.8767 | 0.0082 |
| 0.9664 | 3.0 | 3636 | 1.7506 | 0.0082 |
| 0.5483 | 4.0 | 4848 | 1.7015 | 0.0082 |
| 0.6007 | 5.0 | 6060 | 1.6782 | 0.0082 |
| 0.9439 | 6.0 | 7272 | 1.6496 | 0.0082 |
| 0.7271 | 7.0 | 8484 | 1.6297 | 0.0082 |
| 0.5515 | 8.0 | 9696 | 1.6404 | 0.0082 |
| 0.7064 | 9.0 | 10908 | 1.6354 | 0.0082 |
| 0.4698 | 10.0 | 12120 | 1.6352 | 0.0082 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.0