transformers pytorch tensorboard 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_19_SEPT
  results: []
---

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# QA_SYNTH_DATA_WITH_UNANSWERABLE_19_SEPT

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: 0.0008

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.0178        | 1.0   | 76947  | 0.0089          |
| 0.0054        | 2.0   | 153894 | 0.0070          |
| 0.0241        | 3.0   | 230841 | 0.0031          |
| 0.0009        | 4.0   | 307788 | 0.0248          |
| 0.0195        | 5.0   | 384735 | 0.0059          |
| 0.0105        | 6.0   | 461682 | 0.0007          |
| 0.0           | 7.0   | 538629 | 0.0007          |
| 0.0           | 8.0   | 615576 | 0.0005          |
| 0.0           | 9.0   | 692523 | 0.0009          |
| 0.0           | 10.0  | 769470 | 0.0008          |


### Framework versions

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