---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
datasets:
- quoref
model-index:
- name: mbert-quoref
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mbert-quoref

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the quoref dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7567

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.8761        | 1.0   | 1213  | 1.7360          |
| 1.305         | 2.0   | 2426  | 1.6877          |
| 0.9271        | 3.0   | 3639  | 1.8559          |
| 0.6565        | 4.0   | 4852  | 2.0420          |
| 0.4911        | 5.0   | 6065  | 2.3335          |
| 0.3468        | 6.0   | 7278  | 2.6380          |
| 0.2522        | 7.0   | 8491  | 2.8952          |
| 0.2001        | 8.0   | 9704  | 3.2514          |
| 0.1501        | 9.0   | 10917 | 3.5567          |
| 0.1314        | 10.0  | 12130 | 3.7567          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1