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---
library_name: transformers
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: 47.355
pipeline_tag: summarization
---
<!-- 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: 1.3736
- Rouge1: 47.355
- Rouge2: 23.7601
- Rougel: 39.8403
- Rougelsum: 43.4718
- Gen Len: 17.1575
## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.3641 | 1.0 | 921 | 1.3780 | 47.4054 | 23.6308 | 39.8273 | 43.3697 | 17.3004 |
| 1.3074 | 2.0 | 1842 | 1.3736 | 47.355 | 23.7601 | 39.8403 | 43.4718 | 17.1575 |
| 1.2592 | 3.0 | 2763 | 1.3740 | 47.2208 | 23.4972 | 39.7293 | 43.2546 | 17.2320 |
| 1.2232 | 4.0 | 3684 | 1.3794 | 47.9156 | 24.2451 | 40.2628 | 43.9122 | 17.4017 |
| 1.2042 | 5.0 | 4605 | 1.3780 | 47.8982 | 24.1707 | 40.2955 | 43.8939 | 17.3712 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
### How to use
```py
from transformers import pipeline
pipe = pipeline("summarization", model="sharmax-vikas/flan-t5-base-samsum")
res = pipe('''dialogue:
Margaret: Hi, in December I'd like to meet on 4th and 11th around 10:00 or 11:00.
Evans: Hi, 4th - we can meet at 10:00.
Evans: And 11th - at 11:00.
Margaret: Okey. And what about 18th?
Evans: I'm not sure about 18th.
Evans: I might not be in town.
Margaret: Okey, so we'll see.
Evans: Yes. And I'll let you know next week.
Margaret: If it's not 18th, maybe we could meet on 17th?
Evans: If I go away, I won't also be 17th.
Margaret: Okey, I get it.
Evans: But we could meet 14th, if you like?
Margaret: Hm, I'm not sure whether I'm avaliable.
Evans: So let's set these dates later, ok?
Margaret: Okey and we see each other 4th 10:00.
Evans: Yes!''')
print(f"flan-t5-base summary:\n{res[0]['summary_text']}")
#output : flan-t5-base summary:
Margaret and Evans will meet on the 4th and 11th of December. They will meet at 10:00 on the 18th and at 11:00 on the 17th. If it's not 18th, they can meet on 17th or 14th.
``` |