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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum
split: test
args: samsum
metrics:
- name: Rouge1
type: rouge
value: 46.2923
---
<!-- 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 the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 46.2923
- Rouge2: 22.272
- Rougel: 38.6727
- Rougelsum: 42.1955
- Gen Len: 16.7778
## 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 0.0 | 1.0 | 1842 | nan | 46.2923 | 22.272 | 38.6727 | 42.1955 | 16.7778 |
| 0.0 | 2.0 | 3684 | nan | 46.2923 | 22.272 | 38.6727 | 42.1955 | 16.7778 |
| 0.0 | 3.0 | 5526 | nan | 46.2923 | 22.272 | 38.6727 | 42.1955 | 16.7778 |
| 0.0 | 4.0 | 7368 | nan | 46.2923 | 22.272 | 38.6727 | 42.1955 | 16.7778 |
| 0.0 | 5.0 | 9210 | nan | 46.2923 | 22.272 | 38.6727 | 42.1955 | 16.7778 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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