---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: flan-t5-small-qclassifier_new_0.5-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan-t5-small-qclassifier_new_0.5-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.1

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: 0.6607
- Precision: 0.6098
- Recall: 0.9752
- F1: 0.7504

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 0.6843        | 1.0   | 193  | 0.6676          | 0.6044    | 0.9860 | 0.7494 |
| 0.6629        | 2.0   | 386  | 0.6607          | 0.6098    | 0.9752 | 0.7504 |
| 0.6563        | 3.0   | 579  | 0.6551          | 0.6186    | 0.9386 | 0.7457 |
| 0.6515        | 4.0   | 772  | 0.6532          | 0.6281    | 0.9116 | 0.7437 |
| 0.649         | 5.0   | 965  | 0.6516          | 0.6445    | 0.8578 | 0.7360 |
| 0.6444        | 6.0   | 1158 | 0.6512          | 0.6479    | 0.8567 | 0.7378 |
| 0.6434        | 7.0   | 1351 | 0.6511          | 0.6551    | 0.8556 | 0.7421 |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1