ReSearchZ

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

• Loss: 1.9687

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.7478	1.0	269	2.2325
2.2085	2.0	538	1.9959
2.0775	3.0	807	1.9921

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1