FYP_sq2_mrqa
This model is a fine-tuned version of deepset/deberta-v3-base-squad2 on MRQA 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: 2e-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
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for kxx-kkk/FYP_sq2_mrqa_old
Base model
microsoft/deberta-v3-base
Finetuned
deepset/deberta-v3-base-squad2