pytorch tensorboard roberta question-answering dataset:squad_v2 transformers generated_from_trainer license:cc-by-4.0 model-index autotrain_compatible
---
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: tinyroberta-squad2-finetuned-squad
  results: []
---

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# tinyroberta-squad2-finetuned-squad

This model is a fine-tuned version of [deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2) on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1592

## 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: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6185        | 1.0   | 8239  | 0.9460          |
| 0.4243        | 2.0   | 16478 | 1.1592          |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
