---
library_name: transformers
base_model: mesolitica/finetune-qa-t5-small-standard-bahasa-cased
tags:
- generated_from_trainer
model-index:
- name: qa_en_ms_model_v2
  results: []
---

<!-- 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. -->

# qa_en_ms_model_v2

This model is a fine-tuned version of [mesolitica/finetune-qa-t5-small-standard-bahasa-cased](https://huggingface.co/mesolitica/finetune-qa-t5-small-standard-bahasa-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8644

## 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: 24
- eval_batch_size: 24
- seed: 42
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.365         | 1.0   | 1047  | 1.0902          |
| 1.1222        | 2.0   | 2094  | 0.9886          |
| 1.0316        | 3.0   | 3141  | 0.9431          |
| 0.9622        | 4.0   | 4188  | 0.9205          |
| 0.9098        | 5.0   | 5235  | 0.8920          |
| 0.8769        | 6.0   | 6282  | 0.8792          |
| 0.8612        | 7.0   | 7329  | 0.8734          |
| 0.8527        | 8.0   | 8376  | 0.8667          |
| 0.8248        | 9.0   | 9423  | 0.8638          |
| 0.8285        | 10.0  | 10470 | 0.8644          |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1