---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: xlmr-si-en-all_shuffled-2020-test1000
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xlmr-si-en-all_shuffled-2020-test1000

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8030
- R Squared: 0.0373
- Mae: 0.7088
- Pearson R: 0.5232

## 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: 2020
- 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   | 438  | 0.7537          | 0.0964    | 0.7613 | 0.3509    |
| 0.8088        | 2.0   | 876  | 0.6291          | 0.2458    | 0.6462 | 0.5263    |
| 0.6342        | 3.0   | 1314 | 0.8030          | 0.0373    | 0.7088 | 0.5232    |


### Framework versions

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