---
tags:
- generated_from_trainer
model-index:
- name: multi-qa-mpnet-base-dot-v1-finetuned-squad2-all
  results: []
---

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# 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](https://huggingface.co/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