---
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
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8183
- Rouge1: 50.827
- Rouge2: 42.2129
- Rougel: 50.1859
- Rougelsum: 50.0929
- Gen Len: 17.1429

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 8    | 2.0190          | 43.3655 | 31.8855 | 36.5569 | 36.419    | 17.4286 |
| No log        | 2.0   | 16   | 1.9072          | 49.9208 | 41.8902 | 48.749  | 48.3927   | 18.0    |
| No log        | 3.0   | 24   | 1.8506          | 50.827  | 42.2129 | 50.1859 | 50.0929   | 17.1429 |
| No log        | 4.0   | 32   | 1.8289          | 50.827  | 42.2129 | 50.1859 | 50.0929   | 17.1429 |
| No log        | 5.0   | 40   | 1.8183          | 50.827  | 42.2129 | 50.1859 | 50.0929   | 17.1429 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3