---
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: 0.6434
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 0.6606        | 1.0   | 193  | 0.6434          | 0.6500    | 1.0    | 0.7879 |
| 0.6455        | 2.0   | 386  | 0.6374          | 0.6500    | 1.0    | 0.7879 |
| 0.6374        | 3.0   | 579  | 0.6338          | 0.6522    | 0.9890 | 0.7861 |
| 0.6321        | 4.0   | 772  | 0.6318          | 0.6587    | 0.9661 | 0.7833 |
| 0.6289        | 5.0   | 965  | 0.6275          | 0.6813    | 0.9272 | 0.7855 |
| 0.6256        | 6.0   | 1158 | 0.6270          | 0.6791    | 0.9282 | 0.7843 |


### Framework versions

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