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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_SYNTHETIC_DATA_ONLY_22_AUG_xlm-roberta-base
results: []
---
<!-- 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_ONLY_22_AUG_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: 0.0031
## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.0045 | 1.0 | 14248 | 0.0030 |
| 0.0085 | 2.0 | 28496 | 0.0025 |
| 0.0076 | 3.0 | 42744 | 0.0031 |
| 0.0021 | 4.0 | 56992 | 0.0031 |
| 0.0053 | 5.0 | 71240 | 0.0031 |
| 0.002 | 6.0 | 85488 | 0.0030 |
| 0.0216 | 7.0 | 99736 | 0.0019 |
| 0.0 | 8.0 | 113984 | 0.0029 |
| 0.0 | 9.0 | 128232 | 0.0030 |
| 0.0 | 10.0 | 142480 | 0.0031 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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