---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: Flant5-offensive-multilingual
  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. -->

# Flant5-offensive-multilingual

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0012
- Precision: 0.6875
- Recall: 0.6040
- F1: 0.6430
- Total Predictions: 3532

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Precision | Recall | F1     | Total Predictions |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:-----------------:|
| 0.2343        | 1.0   | 3753  | 0.0011          | 0.5924    | 0.6481 | 0.6190 | 3532              |
| 0.0008        | 2.0   | 7506  | 0.0010          | 0.6903    | 0.5416 | 0.6070 | 3532              |
| 0.0006        | 3.0   | 11259 | 0.0011          | 0.6012    | 0.7238 | 0.6569 | 3532              |
| 0.0005        | 4.0   | 15012 | 0.0011          | 0.6882    | 0.5765 | 0.6274 | 3532              |
| 0.0004        | 5.0   | 18765 | 0.0012          | 0.6875    | 0.6040 | 0.6430 | 3532              |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2