---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: flan-t5-small-hallucination-text-classification
  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-small-hallucination-text-classification

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7901
- Precision: 0.7429
- Recall: 0.7450
- F1: 0.7428
- Accuracy: 0.7450

## 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: 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: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.4967        | 0.4016 | 100  | 0.8049          | 0.7429    | 0.7349 | 0.7248 | 0.7349   |
| 0.4829        | 0.8032 | 200  | 0.7162          | 0.7284    | 0.7319 | 0.7261 | 0.7319   |
| 0.3966        | 1.2048 | 300  | 0.8576          | 0.7526    | 0.7530 | 0.7486 | 0.7530   |
| 0.3115        | 1.6064 | 400  | 0.8358          | 0.7443    | 0.7450 | 0.7438 | 0.7450   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1