deberta-v3-base-finetuned-squad2
This model is a fine-tuned version of IProject-10/deberta-v3-base-finetuned-squad2 on the squad_v2 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.8493
- eval_runtime: 168.8242
- eval_samples_per_second: 71.678
- eval_steps_per_second: 4.484
- step: 0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3