transformers pytorch t5 text2text-generation generated_from_trainer dataset:samsum base_model:google/flan-t5-small license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
---
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: 44.0269
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 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: 1.6313
- Rouge1: 44.0269
- Rouge2: 20.0328
- Rougel: 36.6724
- Rougelsum: 40.1413
- Gen Len: 16.8120

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.5776        | 1.0   | 1842 | 1.6419          | 43.5645 | 19.3402 | 36.24   | 39.8321   | 16.8242 |
| 1.5492        | 2.0   | 3684 | 1.6314          | 43.7723 | 19.3665 | 36.3105 | 39.8579   | 16.9744 |
| 1.5435        | 3.0   | 5526 | 1.6355          | 43.7953 | 19.6781 | 36.3307 | 39.9281   | 16.7937 |
| 1.5375        | 4.0   | 7368 | 1.6338          | 43.7685 | 19.7748 | 36.3904 | 39.9452   | 16.8852 |
| 1.5386        | 5.0   | 9210 | 1.6313          | 44.0269 | 20.0328 | 36.6724 | 40.1413   | 16.8120 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
