transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-samsum
  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. -->

# flan-t5-small-samsum

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: 1.6307
- Rouge1: 43.9705
- Rouge2: 19.625
- Rougel: 36.5169
- Rougelsum: 39.991
- Gen Len: 16.8034

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.8232        | 1.0   | 1842 | 1.6649          | 42.84   | 18.7134 | 35.4575 | 39.1611   | 16.9060 |
| 1.7366        | 2.0   | 3684 | 1.6412          | 43.3041 | 18.979  | 35.8757 | 39.4089   | 16.9121 |
| 1.6958        | 3.0   | 5526 | 1.6357          | 43.4414 | 19.1581 | 36.0299 | 39.5906   | 16.7937 |
| 1.6619        | 4.0   | 7368 | 1.6327          | 43.7014 | 19.441  | 36.3343 | 39.8082   | 16.8449 |
| 1.6362        | 5.0   | 9210 | 1.6307          | 43.9705 | 19.625  | 36.5169 | 39.991    | 16.8034 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
