---
tags:
- generated_from_trainer
datasets:
- subjqa
model-index:
- name: qa_bert-base-multilingual-cased-finetuned-squad
  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_bert-base-multilingual-cased-finetuned-squad

This model is a fine-tuned version of [salti/bert-base-multilingual-cased-finetuned-squad](https://huggingface.co/salti/bert-base-multilingual-cased-finetuned-squad) on the subjqa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8327

## 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-06
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6495        | 1.0   | 81   | 2.3399          |
| 1.8855        | 2.0   | 162  | 2.0887          |
| 1.7301        | 3.0   | 243  | 1.9716          |
| 1.668         | 4.0   | 324  | 1.9215          |
| 1.6121        | 5.0   | 405  | 1.8922          |
| 1.5587        | 6.0   | 486  | 1.8767          |
| 1.5236        | 7.0   | 567  | 1.8614          |
| 1.4978        | 8.0   | 648  | 1.8464          |
| 1.4769        | 9.0   | 729  | 1.8434          |
| 1.4612        | 10.0  | 810  | 1.8364          |
| 1.4215        | 11.0  | 891  | 1.8357          |
| 1.4132        | 12.0  | 972  | 1.8330          |
| 1.394         | 13.0  | 1053 | 1.8325          |
| 1.3798        | 14.0  | 1134 | 1.8348          |
| 1.3786        | 15.0  | 1215 | 1.8326          |
| 1.3668        | 16.0  | 1296 | 1.8339          |
| 1.3545        | 17.0  | 1377 | 1.8338          |
| 1.3581        | 18.0  | 1458 | 1.8323          |
| 1.3449        | 19.0  | 1539 | 1.8324          |
| 1.3443        | 20.0  | 1620 | 1.8327          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2