---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan_t5_small_finetuned
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: samsum
      type: samsum
      config: samsum
      split: train[:50]
      args: samsum
    metrics:
    - name: Rouge1
      type: rouge
      value: 44.9038
---

<!-- 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_finetuned

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: 1.3412
- Rouge1: 44.9038
- Rouge2: 22.7667
- Rougel: 38.8789
- Rougelsum: 41.7196
- Gen Len: 16.92

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 7    | 1.4537          | 43.8958 | 21.4426 | 37.7876 | 41.0621   | 17.4    |
| No log        | 2.0   | 14   | 1.4025          | 44.291  | 21.7752 | 37.6394 | 41.0092   | 17.1    |
| No log        | 3.0   | 21   | 1.3687          | 44.5803 | 22.5489 | 38.5959 | 41.6202   | 17.0    |
| No log        | 4.0   | 28   | 1.3487          | 44.6139 | 22.5884 | 38.6786 | 41.5311   | 16.94   |
| No log        | 5.0   | 35   | 1.3412          | 44.9038 | 22.7667 | 38.8789 | 41.7196   | 16.92   |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.13.1+cpu
- Datasets 2.13.1
- Tokenizers 0.13.3