---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: fine-tuned-DatasetQAS-Squad-ID-with-indobert-large-p2-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-large-p2-with-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: 1.5867
- Exact Match: 47.7296
- F1: 64.3850

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 128
- 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      |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
| 1.8839        | 0.5   | 463  | 1.7873          | 39.9512     | 56.0205 |
| 1.6682        | 1.0   | 926  | 1.6243          | 44.2651     | 60.9585 |
| 1.5129        | 1.5   | 1389 | 1.5722          | 45.6609     | 61.7661 |
| 1.4634        | 2.0   | 1852 | 1.5185          | 47.1493     | 63.5348 |
| 1.3128        | 2.5   | 2315 | 1.5212          | 46.9475     | 63.4277 |
| 1.323         | 3.0   | 2778 | 1.5052          | 47.6118     | 64.2591 |
| 1.1824        | 3.5   | 3241 | 1.5352          | 47.5950     | 64.2896 |
| 1.2013        | 4.0   | 3704 | 1.5302          | 47.9566     | 64.5453 |
| 1.0842        | 4.5   | 4167 | 1.5678          | 47.5362     | 64.2029 |
| 1.0811        | 5.0   | 4630 | 1.5590          | 47.7632     | 64.1309 |
| 1.0138        | 5.5   | 5093 | 1.5867          | 47.7296     | 64.3850 |


### Framework versions

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