finetuned
This model is a fine-tuned version of microsoft/deberta-v3-base on the PiC/phrase_retrieval PR-pass 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: 3e-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: 2.0
Training results
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 19
Model tree for Deehan1866/PR-Pass-deberta-v3-base
Base model
microsoft/deberta-v3-base