---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
base_model: google/switch-base-8
model-index:
- name: switch-base-8-finetuned-samsum
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: samsum
      type: samsum
      config: samsum
      split: train
      args: samsum
    metrics:
    - type: rouge
      value: 46.5651
      name: Rouge1
---

<!-- 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. -->

# switch-base-8-finetuned-samsum

This model is a fine-tuned version of [google/switch-base-8](https://huggingface.co./google/switch-base-8) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4606
- Rouge1: 46.5651
- Rouge2: 23.2378
- Rougel: 39.4484
- Rougelsum: 43.1011
- Gen Len: 17.0183

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.8829        | 1.0   | 3683  | 1.5154          | 46.3805 | 23.0982 | 39.0612 | 43.0142   | 17.6296 |
| 1.6207        | 2.0   | 7366  | 1.4578          | 47.7434 | 24.9471 | 40.6481 | 44.351    | 17.2066 |
| 1.442         | 3.0   | 11049 | 1.4360          | 47.6903 | 24.9954 | 40.713  | 44.3487   | 17.0501 |
| 1.3103        | 4.0   | 14732 | 1.4396          | 48.4517 | 25.7725 | 41.5212 | 45.1211   | 16.9071 |
| 1.2393        | 5.0   | 18415 | 1.4445          | 48.4002 | 25.8727 | 41.5361 | 45.0467   | 16.9804 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2