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: 47.2702
---

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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: 1.3743
- Rouge1: 47.2702
- Rouge2: 23.5181
- Rougel: 39.8232
- Rougelsum: 43.3645
- Gen Len: 17.2466

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4528        | 1.0   | 1842 | 1.3867          | 46.7028 | 22.7798 | 39.0236 | 42.7977   | 17.3993 |
| 1.3385        | 2.0   | 3684 | 1.3751          | 46.9306 | 23.2467 | 39.1768 | 42.9745   | 17.3431 |
| 1.2711        | 3.0   | 5526 | 1.3745          | 47.2857 | 23.5195 | 39.6304 | 43.3844   | 17.4493 |
| 1.2284        | 4.0   | 7368 | 1.3743          | 47.2702 | 23.5181 | 39.8232 | 43.3645   | 17.2466 |
| 1.2085        | 5.0   | 9210 | 1.3759          | 47.4235 | 23.7621 | 39.8577 | 43.5762   | 17.2967 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
