---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: Flant5_Complaint
  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_Complaint

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: 0.1839

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 159  | 0.1390          |
| No log        | 2.0   | 318  | 0.1345          |
| No log        | 3.0   | 477  | 0.1320          |
| 0.1669        | 4.0   | 636  | 0.1397          |
| 0.1669        | 5.0   | 795  | 0.1503          |
| 0.1669        | 6.0   | 954  | 0.1546          |
| 0.0764        | 7.0   | 1113 | 0.1623          |
| 0.0764        | 8.0   | 1272 | 0.1694          |
| 0.0764        | 9.0   | 1431 | 0.1789          |
| 0.0518        | 10.0  | 1590 | 0.1839          |


### Framework versions

- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1