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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: flan-t5-base-intent
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. -->
# flan-t5-base-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: 0.0000
- 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
The fine tuned model by STOP is intended for Anti-tobacco/ Pro-tobacco monitoring for 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: 5
### Training results
### Framework versions
- Transformers 4.31.0
- Pytorch 1.12.1+cu116
- Datasets 2.14.4
- Tokenizers 0.12.1
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