---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: switch-base-16-finetuned-samsum
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: samsum
      type: samsum
      config: samsum
      split: validation
      args: samsum
    metrics:
    - name: Rouge1
      type: rouge
      value: 47.2139

widget:
  - text: |-
      Sid: Wanna catch a movie?
      Annie: sure what do you have in mind?
      Sid; the Aquaman? :D
      Annie: haha isn't it a bit childish
      Sid: noooooo I mean yes but it's the highest grossing movie this week
      Annie: seriously?
      Sid: yeah?
      Annie: okay let's see what the fuss is all about
---

<!-- 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 Transformer (base-16) fine-tuned om samsum for conversation summarization

This model is a fine-tuned version of [google/switch-base-16](https://huggingface.co/google/switch-base-16) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4434
- Rouge1: 47.2139
- Rouge2: 23.3399
- Rougel: 39.8364
- Rougelsum: 43.2592
- Gen Len: 16.9194

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.846         | 1.0   | 3683  | 1.4857          | 45.9134 | 22.4258 | 38.9716 | 42.6169   | 17.0623 |
| 1.5734        | 2.0   | 7366  | 1.4346          | 47.574  | 24.2967 | 40.3749 | 44.2636   | 17.3790 |
| 1.38          | 3.0   | 11049 | 1.4277          | 47.9915 | 24.9077 | 40.658  | 44.5301   | 17.1406 |
| 1.2388        | 4.0   | 14732 | 1.4223          | 48.3444 | 25.4061 | 41.2776 | 45.0434   | 16.9254 |
| 1.1629        | 5.0   | 18415 | 1.4372          | 48.5991 | 25.5464 | 41.3726 | 45.0784   | 16.9890 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2