---
library_name: transformers
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: Togo
  results: []
datasets:
- mjpsm/Togo-Dataset
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Togo

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co./deepset/roberta-base-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0002

## 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: 3e-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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 2    | 0.0038          |
| No log        | 2.0   | 4    | 0.0003          |
| No log        | 3.0   | 6    | 0.0003          |
| No log        | 4.0   | 8    | 0.0002          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.20.0