multi-qa-mpnet-base-dot-v1-finetuned-squad2-all

This model is a fine-tuned version of sentence-transformers/multi-qa-mpnet-base-dot-v1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0718

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
2.8521	1.0	840	1.3531
1.2732	2.0	1680	1.0718

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3