---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
model-index:
- name: FLANT5_base
  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. -->

# FLANT5_base

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1032
- Bleu Score: 24.5858
- Precision: 5.6153
- Recall: 5.6153
- Gen Len: 18.81
- Err: 5.6153

## 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: 0.0001
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err    |
|:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:------:|:-------:|:------:|
| 0.2198        | 1.0   | 838  | 0.1347          | 23.608     | 4.779     | 4.779  | 18.7897 | 4.779  |
| 0.1309        | 2.0   | 1676 | 0.1099          | 24.3086    | 5.3763    | 5.3763 | 18.8088 | 5.3763 |
| 0.1079        | 3.0   | 2514 | 0.1032          | 24.5858    | 5.6153    | 5.6153 | 18.81   | 5.6153 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0