---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2172
- Rouge1: 40.5681
- Rouge2: 19.3464
- Rougel: 35.9679
- Rougelsum: 37.6605
- Gen Len: 19.97

## 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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 9
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.293         | 1.0   | 1384  | 0.2280          | 38.7963 | 16.8581 | 33.5577 | 35.6059   | 19.96   |
| 0.2515        | 2.0   | 2769  | 0.2203          | 38.8289 | 16.9039 | 33.5277 | 35.3638   | 19.982  |
| 0.2347        | 3.0   | 4154  | 0.2155          | 39.8194 | 18.4008 | 34.6872 | 36.6037   | 19.968  |
| 0.223         | 4.0   | 5538  | 0.2148          | 40.1964 | 18.4087 | 34.9626 | 36.8748   | 19.96   |
| 0.2135        | 5.0   | 6923  | 0.2149          | 40.5411 | 19.0474 | 35.5895 | 37.4265   | 19.962  |
| 0.2056        | 6.0   | 8308  | 0.2146          | 40.3302 | 19.1785 | 35.6352 | 37.4875   | 19.962  |
| 0.1999        | 7.0   | 9692  | 0.2147          | 40.0187 | 19.143  | 35.3324 | 37.1204   | 19.958  |
| 0.1948        | 8.0   | 11077 | 0.2159          | 40.1846 | 19.1643 | 35.7202 | 37.4115   | 19.966  |
| 0.1915        | 9.0   | 12462 | 0.2169          | 40.7785 | 19.5846 | 36.1499 | 37.9102   | 19.96   |
| 0.1888        | 10.0  | 13840 | 0.2172          | 40.5681 | 19.3464 | 35.9679 | 37.6605   | 19.97   |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.15.2