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

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: 2.1269
- Rouge1: 0.3870
- Rouge2: 0.1916
- Rougel: 0.3593
- Rougelsum: 0.3586

## 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: 0.0001
- 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 9    | 2.1682          | 0.3687 | 0.1693 | 0.3411 | 0.3431    |
| No log        | 2.0   | 18   | 2.1143          | 0.4078 | 0.2056 | 0.3808 | 0.3839    |
| No log        | 3.0   | 27   | 2.1103          | 0.4159 | 0.2086 | 0.3826 | 0.3819    |
| No log        | 4.0   | 36   | 2.1055          | 0.3910 | 0.2037 | 0.3696 | 0.3674    |
| No log        | 5.0   | 45   | 2.0927          | 0.3841 | 0.1969 | 0.3631 | 0.3626    |
| No log        | 6.0   | 54   | 2.0996          | 0.3726 | 0.1947 | 0.3545 | 0.3535    |
| No log        | 7.0   | 63   | 2.1051          | 0.3757 | 0.1975 | 0.3571 | 0.3563    |
| No log        | 8.0   | 72   | 2.1163          | 0.3897 | 0.1929 | 0.3667 | 0.3652    |
| No log        | 9.0   | 81   | 2.1240          | 0.3836 | 0.1950 | 0.3554 | 0.3542    |
| No log        | 10.0  | 90   | 2.1269          | 0.3870 | 0.1916 | 0.3593 | 0.3586    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2