---
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlmr-base-texas-squad-da
  results: []
---

# xlmr-base-texas-squad-da

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the TExAS-SQuAD-da dataset.
It achieves the following results on the evaluation set:
- Exact match: 63.95%
- F1-score: 68.39%

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.6438        | 1.0   | 4183  | 1.4711          |
| 1.4079        | 2.0   | 8366  | 1.4356          |
| 1.2532        | 3.0   | 12549 | 1.4509          |


### Framework versions

- Transformers 4.12.2
- Pytorch 1.8.1+cu101
- Datasets 1.12.1
- Tokenizers 0.10.3