transformers tensorboard safetensors t5 text2text-generation generated_from_trainer summarization en dataset:samsum base_model:google/flan-t5-base base_model:finetune:google/flan-t5-base license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: google/flan-t5-base
datasets:
- samsum
language:
- en
license: apache-2.0
metrics:
- rouge
pipeline_tag: summarization
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-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-base-samsum

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on https://huggingface.co/datasets/samsum dataset.

It achieves the following results on the evaluation set:
- Loss: 1.3743
- Rouge1: 47.5395
- Rouge2: 24.0064
- Rougel: 40.1703
- Rougelsum: 43.8303
- Gen Len: 17.2564

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4554        | 1.0   | 1842 | 1.3865          | 46.9319 | 23.5287 | 39.3501 | 43.0805   | 17.3968 |
| 1.3404        | 2.0   | 3684 | 1.3760          | 47.3057 | 23.7013 | 39.767  | 43.4863   | 16.9634 |
| 1.272         | 3.0   | 5526 | 1.3743          | 47.5395 | 24.0064 | 40.1703 | 43.8303   | 17.2564 |
| 1.2277        | 4.0   | 7368 | 1.3747          | 47.6417 | 23.88   | 40.0928 | 43.8293   | 17.2589 |
| 1.2069        | 5.0   | 9210 | 1.3764          | 47.7095 | 23.8971 | 40.0913 | 43.9315   | 17.3675 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0