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# multiple_choice_sdu_mlang_mdeberta

This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/mdeberta-v3-base", "model-index": [{"name": "multiple_choice_sdu_mlang_mdeberta", "results": []}]}
transformers tensorboard safetensors deberta-v2 multiple-choice generated_from_trainer base_model:microsoft/mdeberta-v3-base license:mit endpoints_compatible region:us