---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
datasets:
- wmt20_mlqe_task1
model-index:
- name: xlmr-wmt20qe1-et-en-train_shuffled-1986-test2000
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xlmr-wmt20qe1-et-en-train_shuffled-1986-test2000

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the wmt20_mlqe_task1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5172
- R Squared: 0.3115
- Mae: 0.5282
- Pearson R: 0.6791

## 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: 1986
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | R Squared | Mae    | Pearson R |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---------:|
| No log        | 1.0   | 375  | 0.5029          | 0.3306    | 0.5891 | 0.6394    |
| 0.7331        | 2.0   | 750  | 0.4183          | 0.4432    | 0.4958 | 0.6849    |
| 0.5087        | 3.0   | 1125 | 0.5172          | 0.3115    | 0.5282 | 0.6791    |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1