---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-lable_model_1
  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-base-lable_model_1

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0517
- Rouge1: 95.1613
- Rouge2: 0.0
- Rougel: 95.1613
- Rougelsum: 95.1613
- Gen Len: 4.3871

## 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: 5e-05
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 18   | 0.0815          | 95.1613 | 0.0    | 95.1613 | 95.1613   | 4.3871  |
| No log        | 2.0   | 36   | 0.0740          | 95.1613 | 0.0    | 95.1613 | 95.1613   | 4.3871  |
| No log        | 3.0   | 54   | 0.0757          | 95.1613 | 0.0    | 95.1613 | 95.1613   | 4.3871  |
| No log        | 4.0   | 72   | 0.0542          | 95.1613 | 0.0    | 95.1613 | 95.1613   | 4.3871  |
| No log        | 5.0   | 90   | 0.0517          | 95.1613 | 0.0    | 95.1613 | 95.1613   | 4.3871  |
| No log        | 6.0   | 108  | 0.0519          | 95.1613 | 0.0    | 95.1613 | 95.1613   | 4.3871  |
| No log        | 7.0   | 126  | 0.0637          | 95.1613 | 0.0    | 95.1613 | 95.1613   | 4.3871  |
| No log        | 8.0   | 144  | 0.0688          | 95.1613 | 0.0    | 95.1613 | 95.1613   | 4.3871  |


### Framework versions

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