transformers pytorch xlm-roberta question-answering generated_from_trainer base_model:xlm-roberta-base license:mit endpoints_compatible region:us
---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_SYNTH_DATA_WITH_UNANSWERABLE_29_AUG
  results: []
---

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# QA_SYNTH_DATA_WITH_UNANSWERABLE_29_AUG

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: 0.0024

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.2206        | 1.0   | 14700  | 0.0603          |
| 0.1264        | 2.0   | 29400  | 0.0097          |
| 0.024         | 3.0   | 44100  | 0.1415          |
| 0.003         | 4.0   | 58800  | 0.0101          |
| 0.0044        | 5.0   | 73500  | 0.0183          |
| 0.0           | 6.0   | 88200  | 0.0042          |
| 0.0635        | 7.0   | 102900 | 0.0331          |
| 0.0           | 8.0   | 117600 | 0.0050          |
| 0.0           | 9.0   | 132300 | 0.0014          |
| 0.0           | 10.0  | 147000 | 0.0024          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
