metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: dialogue-pro-spanbert-samsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
args: samsum
metrics:
- name: Rouge1
type: rouge
value: 47.8977
dialogue-pro-spanbert-samsum
This model is a fine-tuned version of facebook/bart-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.3251
- Rouge1: 47.8977
- Rouge2: 24.7025
- Rougel: 40.4035
- Rougelsum: 40.4188
- Gen Len: 18.2482
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.3887 | 1.0 | 1841 | 0.3397 | 46.5 | 23.7748 | 39.5841 | 39.5711 | 17.687 |
| 0.3484 | 2.0 | 3682 | 0.3263 | 48.0505 | 24.476 | 40.1212 | 40.1016 | 18.2005 |
| 0.3249 | 3.0 | 5523 | 0.3251 | 47.8977 | 24.7025 | 40.4035 | 40.4188 | 18.2482 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.1+cu102
- Datasets 2.10.1
- Tokenizers 0.12.1