---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: flan-t5-base-tobacco_intent
  results: []
---

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# flan-t5-base-tobacco_intent

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0003
- F1: 100.0
- Gen Len: 2.3333

## Model description

Use double quotation for any tweet. 
0: Anti-tobacco
1: Neutral
2: Pro-tobacco



## Intended uses & limitations

That model has been developed to monitor anti-tobacco and pro-tobacco intent in social media

## Training and evaluation data

The model was developed and fine tuned in STOP, University of Bath, UK

Data used is sherif1311/intend which was collected, augmented and trained by STOP

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0003
- 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: 2

### Training results



### Framework versions

- Transformers 4.31.0
- Pytorch 1.12.1+cu116
- Datasets 2.14.4
- Tokenizers 0.12.1