transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
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
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# flan-t5-base-samsum

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: 1.3701
- Rouge1: 47.3692
- Rouge2: 23.8422
- Rougel: 39.8714
- Rougelsum: 43.5305
- Gen Len: 17.2393

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4503        | 1.0   | 1842 | 1.3824          | 46.8175 | 23.0643 | 39.3286 | 43.071    | 17.3370 |
| 1.3502        | 2.0   | 3684 | 1.3725          | 47.089  | 23.1145 | 39.7933 | 43.3919   | 17.3944 |
| 1.2812        | 3.0   | 5526 | 1.3701          | 47.3692 | 23.8422 | 39.8714 | 43.5305   | 17.2393 |
| 1.231         | 4.0   | 7368 | 1.3719          | 47.5815 | 23.8343 | 40.0254 | 43.8344   | 17.2930 |
| 1.197         | 5.0   | 9210 | 1.3760          | 47.7141 | 23.987  | 40.1787 | 43.9113   | 17.3065 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2
