---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: fine-tuned-DatasetQAS-Squad-ID-with-indobert-large-p2-without-ITTL-without-freeze-LR-1e-05
  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. -->

# fine-tuned-DatasetQAS-Squad-ID-with-indobert-large-p2-without-ITTL-without-freeze-LR-1e-05

This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5397
- Exact Match: 47.8725
- F1: 64.1189

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1      |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
| 1.8628        | 0.5   | 463  | 1.7727          | 40.7249     | 56.9043 |
| 1.6706        | 1.0   | 926  | 1.6163          | 44.3912     | 61.0635 |
| 1.5058        | 1.5   | 1389 | 1.5655          | 45.4339     | 61.5089 |
| 1.4661        | 2.0   | 1852 | 1.5130          | 46.9055     | 63.5850 |
| 1.3171        | 2.5   | 2315 | 1.5077          | 47.1914     | 63.4762 |
| 1.3258        | 3.0   | 2778 | 1.4981          | 47.6034     | 64.3797 |
| 1.1835        | 3.5   | 3241 | 1.5171          | 47.7043     | 64.1444 |
| 1.1946        | 4.0   | 3704 | 1.5333          | 47.6539     | 64.3327 |
| 1.0904        | 4.5   | 4167 | 1.5397          | 47.8725     | 64.1189 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.2.0
- Tokenizers 0.13.2