---
license: cc-by-nc-2.0
base_model: facebook/opt-350m
tags:
- generated_from_trainer
model-index:
- name: tmp_trainer
  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. -->

# tmp_trainer

This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the [addressWithContext](https://huggingface.co/datasets/piazzola/addressWithContext) dataset.

## Model description

**Make sure to set max_new_tokens = 20; otherwise, the model will generate one token at a time.**

```
nlp = pipeline("text-generation",
                model="piazzola/tmp_trainer",
                max_new_tokens=20)
                
nlp("I live at 15 Firstfield Road.")
```

**Note that if you would like to try longer sentences using the Hosted inference API
on the right hand side on this website, you might need to click "Compute" more than one time to get the address.**

## Intended uses & limitations

The model is intended to detect addresses that occur in a sentence.

## Training and evaluation data

This model is trained on `piazzola/addressWithContext`.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- 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: 3.0

### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1