---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: flan-t5-small-classifier
  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-classifier

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: 0.3960
- Accuracy: 0.8372
- F1: 0.6246

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| No log        | 0      | 0    | 0.8605          | 0.2622   | 0.3991 |
| No log        | 0.2020 | 79   | 0.5689          | 0.7262   | 0.0    |
| No log        | 0.4041 | 158  | 0.5251          | 0.7464   | 0.0    |
| No log        | 0.6061 | 237  | 0.4921          | 0.7565   | 0.0765 |
| No log        | 0.8082 | 316  | 0.4664          | 0.7752   | 0.2427 |
| No log        | 1.0102 | 395  | 0.4418          | 0.8012   | 0.4344 |
| No log        | 1.2123 | 474  | 0.4187          | 0.8199   | 0.5283 |
| 0.5394        | 1.4143 | 553  | 0.4065          | 0.8242   | 0.5643 |
| 0.5394        | 1.6164 | 632  | 0.4005          | 0.8372   | 0.6221 |
| 0.5394        | 1.8184 | 711  | 0.3960          | 0.8372   | 0.6246 |


### Framework versions

- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2