---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_REDACTION_NOV1
  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_REDACTION_NOV1

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0170

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9087        | 1.0   | 928  | 0.0382          |
| 0.0727        | 2.0   | 1856 | 0.0195          |
| 0.0954        | 3.0   | 2784 | 3.1621          |
| 0.3541        | 4.0   | 3712 | 0.0192          |
| 0.0849        | 5.0   | 4640 | 0.0164          |
| 0.0317        | 6.0   | 5568 | 0.0131          |
| 0.0327        | 7.0   | 6496 | 0.0151          |
| 0.0407        | 8.0   | 7424 | 0.0142          |
| 0.0383        | 9.0   | 8352 | 0.0176          |
| 0.0182        | 10.0  | 9280 | 0.0170          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1