llm-deberta-v3-swag
This model is a fine-tuned version of microsoft/deberta-v3-base on the SWAG dataset. It achieves the following results on the evaluation set:
- Loss: 0.7839
- Accuracy: 0.8680
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 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Downloads last month
- 7
Inference API (serverless) does not yet support transformers models for this pipeline type.
Model tree for paulovsantanas/llm-deberta-v3-swag
Base model
microsoft/deberta-v3-base