transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:samsum base_model:google/flan-t5-base license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
---
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: 47.5194
---

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# 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: 1.3707
- Rouge1: 47.5194
- Rouge2: 23.7737
- Rougel: 39.9592
- Rougelsum: 43.6505
- Gen Len: 17.2027

## 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 | Gen Len | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:-------:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.4543        | 1.0   | 1842 | 17.5531 | 1.3866          | 46.7793 | 22.9078 | 39.1288 | 42.9793   |
| 1.3399        | 2.0   | 3684 | 17.3297 | 1.3731          | 47.3308 | 24.0129 | 39.9801 | 43.7026   |
| 1.2682        | 3.0   | 5526 | 17.3309 | 1.3744          | 47.3898 | 23.7923 | 39.7349 | 43.5254   |
| 1.2302        | 4.0   | 7368 | 17.2027 | 1.3707          | 47.5194 | 23.7737 | 39.9592 | 43.6505   |
| 1.2082        | 5.0   | 9210 | 1.3751  | 47.6088         | 23.8305 | 40.0216 | 43.6941 | 17.2295   |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
