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

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5296
- Exact Match: 48.5657
- F1: 64.5763

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- 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      |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
| 2.0185        | 0.5   | 463  | 1.8556          | 39.4128     | 54.9486 |
| 1.8481        | 1.0   | 926  | 1.6794          | 43.1985     | 58.7955 |
| 1.6413        | 1.5   | 1389 | 1.6081          | 45.2091     | 61.6638 |
| 1.611         | 2.0   | 1852 | 1.5670          | 45.9241     | 62.7351 |
| 1.4929        | 2.5   | 2315 | 1.5571          | 46.5298     | 63.3878 |
| 1.5119        | 3.0   | 2778 | 1.5222          | 47.2785     | 64.2211 |
| 1.3955        | 3.5   | 3241 | 1.5285          | 47.6235     | 64.2546 |
| 1.3643        | 4.0   | 3704 | 1.5133          | 47.9179     | 64.1430 |
| 1.3277        | 4.5   | 4167 | 1.5223          | 47.8927     | 64.3061 |
| 1.3058        | 5.0   | 4630 | 1.5126          | 48.6498     | 64.5757 |
| 1.2847        | 5.5   | 5093 | 1.5154          | 48.4479     | 64.5972 |
| 1.1984        | 6.0   | 5556 | 1.5289          | 48.4815     | 64.4181 |
| 1.1817        | 6.5   | 6019 | 1.5277          | 48.4395     | 64.7923 |
| 1.2203        | 7.0   | 6482 | 1.5134          | 48.5404     | 64.5935 |
| 1.1492        | 7.5   | 6945 | 1.5412          | 48.6330     | 64.6696 |
| 1.1567        | 8.0   | 7408 | 1.5296          | 48.5657     | 64.5763 |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu117
- Datasets 2.2.0
- Tokenizers 0.13.2