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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta
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. -->
# xlm-roberta
This model is a fine-tuned version of [AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru](https://huggingface.co/AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1842
## 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: 3
- eval_batch_size: 3
- seed: 42
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0083 | 1.0 | 15104 | 0.9420 |
| 0.8093 | 2.0 | 30208 | 0.9264 |
| 0.5576 | 3.0 | 45312 | 1.1842 |
### Framework versions
- Transformers 4.20.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.2.dev0
- Tokenizers 0.12.1
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