---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: flan-t5-base-vaping-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-vaping-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

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: 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

| Training Loss | Epoch | Step | Validation Loss | F1      | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.0416        | 1.0   | 675  | 0.0006          | 99.8333 | 2.3317  |
| 0.0           | 2.0   | 1350 | 0.0000          | 100.0   | 2.3333  |
| 0.0017        | 3.0   | 2025 | 0.0000          | 100.0   | 2.3333  |
| 0.0           | 4.0   | 2700 | 0.0000          | 100.0   | 2.3333  |
| 0.0           | 5.0   | 3375 | 0.0000          | 100.0   | 2.3333  |


### Framework versions

- Transformers 4.42.4
- Pytorch 1.12.1+cu116
- Datasets 2.20.0
- Tokenizers 0.19.1