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

# custom-flan-t5-small-hallucination-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: 0.6767
- Precision: 0.7253
- Recall: 0.7289
- F1: 0.7248
- Accuracy: 0.7289

## 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 |
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.8953        | 0.4016 | 100  | 0.8406          | 0.6192    | 0.5994 | 0.5096 | 0.5994   |
| 0.7764        | 0.8032 | 200  | 0.7486          | 0.7113    | 0.7088 | 0.6951 | 0.7088   |
| 0.7031        | 1.2048 | 300  | 0.7159          | 0.7358    | 0.7309 | 0.7201 | 0.7309   |
| 0.6345        | 1.6064 | 400  | 0.6767          | 0.7253    | 0.7289 | 0.7248 | 0.7289   |


### Framework versions

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