|
--- |
|
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 |
|
|
