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

# results

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: 0.3877
- Rouge1: 0.1916
- Rouge2: 0.0900
- Rougel: 0.1578
- Rougelsum: 0.1799

## 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: 8e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 17   | 6.3841          | 0.0258 | 0.0043 | 0.0256 | 0.0255    |
| No log        | 2.0   | 34   | 3.6116          | 0.0214 | 0.0020 | 0.0193 | 0.0203    |
| No log        | 3.0   | 51   | 1.7410          | 0.0075 | 0.0016 | 0.0070 | 0.0071    |
| No log        | 4.0   | 68   | 0.8219          | 0.0037 | 0.0013 | 0.0025 | 0.0025    |
| No log        | 5.0   | 85   | 0.6052          | 0.0095 | 0.0050 | 0.0067 | 0.0074    |
| No log        | 6.0   | 102  | 0.4904          | 0.1239 | 0.0566 | 0.0988 | 0.1164    |
| No log        | 7.0   | 119  | 0.4477          | 0.1669 | 0.0745 | 0.1366 | 0.1570    |
| No log        | 8.0   | 136  | 0.4218          | 0.1765 | 0.0781 | 0.1464 | 0.1665    |
| No log        | 9.0   | 153  | 0.4044          | 0.1923 | 0.0955 | 0.1604 | 0.1845    |
| No log        | 10.0  | 170  | 0.3937          | 0.1909 | 0.0967 | 0.1636 | 0.1794    |
| No log        | 11.0  | 187  | 0.3887          | 0.1919 | 0.0893 | 0.1594 | 0.1795    |
| No log        | 11.76 | 200  | 0.3877          | 0.1916 | 0.0900 | 0.1578 | 0.1799    |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3