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# Colab_Notebooks

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: 0.1137

## 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: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 159  | 0.2837          |
| No log        | 2.0   | 318  | 0.2131          |
| No log        | 3.0   | 477  | 0.1137          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru", "model-index": [{"name": "Colab_Notebooks", "results": []}]}
transformers pytorch xlm-roberta question-answering generated_from_trainer base_model:AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru license:apache-2.0 endpoints_compatible region:us