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

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: 1.9756
- Rouge1: 41.6396
- Rouge2: 16.2853
- Rougel: 30.6526
- Rougelsum: 38.3228
- Gen Len: 96.9400

## 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: 4
- eval_batch_size: 4
- 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 | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.2075        | 1.0   | 5435  | 2.0439          | 39.7324 | 14.7723 | 29.4479 | 36.4427   | 93.9466 |
| 2.094         | 2.0   | 10870 | 2.0249          | 40.3667 | 15.3038 | 29.6423 | 37.1363   | 96.9290 |
| 2.0306        | 3.0   | 16305 | 2.0199          | 40.6314 | 15.4077 | 29.72   | 37.3677   | 97.4958 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2