---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: xlmr-ne-en-all_shuffled-1986-test1000
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xlmr-ne-en-all_shuffled-1986-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: 0.6776
- R Squared: 0.2386
- Mae: 0.6419
- Pearson R: 0.6657

## 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   | 438  | 0.6668          | 0.2507    | 0.6678 | 0.5661    |
| 0.7313        | 2.0   | 876  | 0.6442          | 0.2761    | 0.6365 | 0.6635    |
| 0.5233        | 3.0   | 1314 | 0.6776          | 0.2386    | 0.6419 | 0.6657    |


### Framework versions

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