---
license: apache-2.0
base_model: google/switch-base-8
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: switch-base-8-samsum-top-4-choose-1-deconly
  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: 47.2666
---

<!-- 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-samsum-top-4-choose-1-deconly

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: 1.5869
- Rouge1: 47.2666
- Rouge2: 24.2196
- Rougel: 40.1766
- Rougelsum: 43.8418
- Gen Len: 16.9352

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 5.4611        | 0.2172 | 200  | 3.0917          | 23.5686 | 7.6846  | 20.6877 | 22.0746   | 14.7946 |
| 2.6551        | 0.4343 | 400  | 2.1027          | 39.7231 | 17.2476 | 33.3172 | 37.0509   | 17.1369 |
| 2.4452        | 0.6515 | 600  | 1.9255          | 42.9952 | 19.6478 | 35.8054 | 40.1569   | 17.3007 |
| 2.1259        | 0.8686 | 800  | 1.8270          | 43.9723 | 21.3238 | 37.0066 | 40.9323   | 16.1027 |
| 2.0957        | 1.0858 | 1000 | 1.7708          | 45.1103 | 21.769  | 37.9229 | 41.7446   | 17.2482 |
| 2.1168        | 1.3029 | 1200 | 1.7185          | 45.6806 | 22.0335 | 38.2398 | 42.4051   | 16.5941 |
| 2.1491        | 1.5201 | 1400 | 1.6982          | 46.0573 | 22.2803 | 38.33   | 42.531    | 16.9291 |
| 1.9829        | 1.7372 | 1600 | 1.6803          | 45.8845 | 22.4145 | 38.795  | 42.5814   | 16.4976 |
| 1.9741        | 1.9544 | 1800 | 1.6657          | 45.6645 | 22.0154 | 38.2445 | 42.2358   | 17.2689 |
| 1.8286        | 2.1716 | 2000 | 1.6462          | 46.7647 | 23.2912 | 39.4015 | 43.3207   | 16.8704 |
| 1.8177        | 2.3887 | 2200 | 1.6486          | 45.8872 | 22.8119 | 38.7398 | 42.3427   | 16.0403 |
| 1.8606        | 2.6059 | 2400 | 1.6270          | 45.9799 | 22.9475 | 38.9393 | 42.7565   | 16.6687 |
| 1.8327        | 2.8230 | 2600 | 1.6210          | 46.2715 | 23.4171 | 39.4324 | 43.0326   | 16.5452 |
| 1.6738        | 3.0402 | 2800 | 1.6242          | 46.1248 | 22.7245 | 38.8572 | 42.5884   | 16.8252 |
| 1.7515        | 3.2573 | 3000 | 1.6155          | 46.5372 | 23.4014 | 39.54   | 43.187    | 16.665  |
| 1.7728        | 3.4745 | 3200 | 1.6000          | 46.6652 | 23.4739 | 39.4761 | 43.2783   | 16.7873 |
| 1.7584        | 3.6916 | 3400 | 1.5922          | 47.2313 | 24.0035 | 39.9195 | 43.6996   | 16.7702 |
| 1.7082        | 3.9088 | 3600 | 1.5957          | 46.5132 | 23.4692 | 39.4884 | 43.2236   | 16.6553 |
| 1.5968        | 4.1260 | 3800 | 1.5916          | 47.2622 | 23.9444 | 40.1308 | 43.7971   | 16.9083 |
| 1.6439        | 4.3431 | 4000 | 1.5880          | 46.9607 | 23.7839 | 39.7431 | 43.5831   | 16.9621 |
| 1.6684        | 4.5603 | 4200 | 1.5930          | 47.2611 | 23.9828 | 40.0767 | 43.8297   | 16.8851 |
| 1.7749        | 4.7774 | 4400 | 1.5882          | 46.9562 | 23.874  | 39.8904 | 43.536    | 16.9377 |
| 1.6401        | 4.9946 | 4600 | 1.5869          | 47.2666 | 24.2196 | 40.1766 | 43.8418   | 16.9352 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1