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---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-small-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: 43.9866
---
<!-- 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 the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6311
- Rouge1: 43.9866
- Rouge2: 19.8759
- Rougel: 36.4981
- Rougelsum: 40.0333
- Gen Len: 16.9072
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.5782 | 1.0 | 1842 | 1.6428 | 43.7392 | 19.2055 | 36.2978 | 39.9317 | 16.8095 |
| 1.5494 | 2.0 | 3684 | 1.6316 | 44.0128 | 19.4478 | 36.4456 | 40.0738 | 16.9365 |
| 1.5445 | 3.0 | 5526 | 1.6356 | 44.0056 | 19.5202 | 36.3341 | 39.9956 | 16.9438 |
| 1.5379 | 4.0 | 7368 | 1.6339 | 43.8323 | 19.6412 | 36.2335 | 39.9361 | 16.9646 |
| 1.5392 | 5.0 | 9210 | 1.6311 | 43.9866 | 19.8759 | 36.4981 | 40.0333 | 16.9072 |
### Framework versions
- Transformers 4.34.1
- Pytorch 1.12.1+cu113
- Datasets 2.14.6
- Tokenizers 0.14.1
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