---
base_model: rifkiaputri/mbert-base-id-finetune-idk-mrc
tags:
- generated_from_trainer
model-index:
- name: mbert-idkmrc-webis
  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. -->

# mbert-idkmrc-webis

This model is a fine-tuned version of [rifkiaputri/mbert-base-id-finetune-idk-mrc](https://huggingface.co/rifkiaputri/mbert-base-id-finetune-idk-mrc) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1790

## 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: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 200  | 3.0307          |
| No log        | 2.0   | 400  | 2.9397          |
| 2.8458        | 3.0   | 600  | 3.1800          |
| 2.8458        | 4.0   | 800  | 3.5039          |
| 1.3208        | 5.0   | 1000 | 3.9778          |
| 1.3208        | 6.0   | 1200 | 4.4905          |
| 1.3208        | 7.0   | 1400 | 4.7502          |
| 0.5372        | 8.0   | 1600 | 4.8481          |
| 0.5372        | 9.0   | 1800 | 5.1920          |
| 0.2723        | 10.0  | 2000 | 5.1790          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1