llm-mdeberta-v3-swag
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the SWAG dataset. It achieves the following results on the evaluation set:
- Loss: 0.8202
- Accuracy: 0.7778
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for paulovsantanas/llm-mdeberta-v3-swag
Base model
microsoft/mdeberta-v3-baseDataset used to train paulovsantanas/llm-mdeberta-v3-swag
Evaluation results
- Accuracy on SWAGvalidation set self-reported0.778