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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_SYNTHETIC_DATA_TRAIN_REAL_DATA_TEST_xlm_roberta-base
results: []
datasets:
- squad
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# QA_SYNTHETIC_DATA_TRAIN_REAL_DATA_TEST_xlm_roberta-base
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: 13.6582
## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.018 | 1.0 | 19000 | 13.0396 |
| 0.0481 | 2.0 | 38000 | 10.5261 |
| 0.032 | 3.0 | 57000 | 10.4920 |
| 0.0025 | 4.0 | 76000 | 12.6251 |
| 0.0005 | 5.0 | 95000 | 12.7548 |
| 0.0 | 6.0 | 114000 | 12.1423 |
| 0.0 | 7.0 | 133000 | 11.4364 |
| 0.0044 | 8.0 | 152000 | 11.7476 |
| 0.0 | 9.0 | 171000 | 13.3022 |
| 0.0 | 10.0 | 190000 | 13.6582 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3 |