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

# finetuned-new

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6670
- Rouge1: 23.8339
- Rouge2: 9.629
- Rougel: 20.6248
- Rougelsum: 21.936
- Gen Len: 18.9886

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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 50   | 1.8104          | 24.234  | 13.0619 | 21.6635 | 22.7407   | 17.8295 |
| No log        | 2.0   | 100  | 1.7152          | 23.8385 | 10.4031 | 20.7556 | 21.8852   | 18.9545 |
| No log        | 3.0   | 150  | 1.6795          | 23.6911 | 9.6556  | 20.5848 | 21.8707   | 18.9886 |
| No log        | 4.0   | 200  | 1.6670          | 23.8339 | 9.629   | 20.6248 | 21.936    | 18.9886 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.3
- Tokenizers 0.13.3