---
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_median-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.0001
  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-qclassifier_new_median-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.0001

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: 0.6502
- Precision: 0.6500
- Recall: 1.0
- F1: 0.7879

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 0.6701        | 1.0   | 193  | 0.6502          | 0.6500    | 1.0    | 0.7879 |
| 0.6504        | 2.0   | 386  | 0.6435          | 0.6500    | 1.0    | 0.7879 |
| 0.643         | 3.0   | 579  | 0.6382          | 0.6494    | 0.9970 | 0.7865 |
| 0.6379        | 4.0   | 772  | 0.6351          | 0.6504    | 0.9831 | 0.7829 |
| 0.632         | 5.0   | 965  | 0.6309          | 0.6653    | 0.9511 | 0.7829 |
| 0.6281        | 6.0   | 1158 | 0.6299          | 0.6695    | 0.9472 | 0.7845 |


### Framework versions

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