---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flan-t5-small-20-epochs-fine-tune
  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-20-epochs-fine-tune

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1136
- Accuracy: 1
- F1 Micro: 1
- F1 Macro: 1
- F1 Weighted: 1

## 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: 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1 Micro | F1 Macro | F1 Weighted |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:--------:|:-----------:|
| 2.0193        | 1.0   | 643   | 1.3910          | 1        | 1        | 1        | 1           |
| 1.3609        | 2.0   | 1286  | 0.9353          | 1        | 1        | 1        | 1           |
| 1.0198        | 3.0   | 1929  | 0.8408          | 1        | 1        | 1        | 1           |
| 0.7264        | 4.0   | 2572  | 0.7945          | 1        | 1        | 1        | 1           |
| 0.6595        | 5.0   | 3215  | 0.7847          | 1        | 1        | 1        | 1           |
| 0.5689        | 6.0   | 3858  | 0.7898          | 1        | 1        | 1        | 1           |
| 0.4745        | 7.0   | 4501  | 0.7969          | 1        | 1        | 1        | 1           |
| 0.4204        | 8.0   | 5144  | 0.8213          | 1        | 1        | 1        | 1           |
| 0.403         | 9.0   | 5787  | 0.8726          | 1        | 1        | 1        | 1           |
| 0.3578        | 10.0  | 6430  | 0.8777          | 1        | 1        | 1        | 1           |
| 0.3238        | 11.0  | 7073  | 0.9143          | 1        | 1        | 1        | 1           |
| 0.287         | 12.0  | 7716  | 0.9656          | 1        | 1        | 1        | 1           |
| 0.2903        | 13.0  | 8359  | 0.9580          | 1        | 1        | 1        | 1           |
| 0.2463        | 14.0  | 9002  | 1.0306          | 1        | 1        | 1        | 1           |
| 0.2318        | 15.0  | 9645  | 1.0428          | 1        | 1        | 1        | 1           |
| 0.2265        | 16.0  | 10288 | 1.0483          | 1        | 1        | 1        | 1           |
| 0.1954        | 17.0  | 10931 | 1.0825          | 1        | 1        | 1        | 1           |
| 0.191         | 18.0  | 11574 | 1.0972          | 1        | 1        | 1        | 1           |
| 0.1774        | 19.0  | 12217 | 1.1163          | 1        | 1        | 1        | 1           |
| 0.1847        | 20.0  | 12860 | 1.1136          | 1        | 1        | 1        | 1           |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2