---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: minilm-uncased-squad2-finetuned-squad-12-trainedfor-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# minilm-uncased-squad2-finetuned-squad-12-trainedfor-3

This model is a fine-tuned version of [deepset/minilm-uncased-squad2](https://huggingface.co/deepset/minilm-uncased-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6607

## 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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6841        | 1.0   | 578  | 0.6561          |
| 0.6406        | 2.0   | 1156 | 0.6518          |
| 0.6156        | 3.0   | 1734 | 0.6607          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2