metadata
library_name: transformers
license: apache-2.0
base_model: muchad/idt5-qa-qg
tags:
- generated_from_trainer
model-index:
- name: my_indo_29_model
results: []
my_indo_29_model
This model is a fine-tuned version of muchad/idt5-qa-qg on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4043
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: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 426 | 5.2005 |
| 5.0155 | 2.0 | 852 | 2.2191 |
| 3.9826 | 3.0 | 1278 | 1.6482 |
| 2.4561 | 4.0 | 1704 | 1.4329 |
| 1.9375 | 5.0 | 2130 | 1.4043 |
Framework versions
- Transformers 4.54.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2