---
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: 0.8470
- Rouge1: 0.2057
- Rouge2: 0.1147
- Rougel: 0.1782
- Rougelsum: 0.1958

## 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   | 1.2660          | 0.1999 | 0.1058 | 0.1703 | 0.1847    |
| No log        | 2.0   | 34   | 1.1230          | 0.2144 | 0.1178 | 0.1823 | 0.2017    |
| No log        | 3.0   | 51   | 1.0869          | 0.2106 | 0.1181 | 0.1870 | 0.2010    |
| No log        | 4.0   | 68   | 0.9919          | 0.2110 | 0.1205 | 0.1883 | 0.2036    |
| No log        | 5.0   | 85   | 1.0286          | 0.2009 | 0.1078 | 0.1749 | 0.1935    |
| No log        | 6.0   | 102  | 0.9935          | 0.2042 | 0.1096 | 0.1775 | 0.1958    |
| No log        | 7.0   | 119  | 0.9676          | 0.2132 | 0.1231 | 0.1887 | 0.2068    |
| No log        | 8.0   | 136  | 0.9297          | 0.2062 | 0.1155 | 0.1824 | 0.1992    |
| No log        | 9.0   | 153  | 0.9009          | 0.2101 | 0.1181 | 0.1853 | 0.2027    |
| No log        | 10.0  | 170  | 0.8658          | 0.2088 | 0.1179 | 0.1840 | 0.2021    |
| No log        | 11.0  | 187  | 0.8495          | 0.2061 | 0.1146 | 0.1791 | 0.1972    |
| No log        | 11.76 | 200  | 0.8470          | 0.2057 | 0.1147 | 0.1782 | 0.1958    |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3