metadata
tags:
- generated_from_trainer
datasets:
- squad
metrics:
- rouge
model-index:
- name: bart-finetuned-squad
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: squad
type: squad
config: plain_text
split: train
args: plain_text
metrics:
- name: Rouge1
type: rouge
value: 50.1505
bart-finetuned-squad
This model is a fine-tuned version of p208p2002/bart-squad-qg-hl on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.8813
- Rouge1: 50.1505
- Rouge2: 26.8606
- Rougel: 46.0203
- Rougelsum: 46.0242
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.5702 | 1.0 | 125 | 1.4266 | 49.7474 | 26.6965 | 46.3227 | 46.342 |
| 0.84 | 2.0 | 250 | 1.4845 | 49.8379 | 26.3973 | 45.126 | 45.1791 |
| 0.535 | 3.0 | 375 | 1.6037 | 50.1413 | 27.4581 | 46.7795 | 46.8001 |
| 0.3621 | 4.0 | 500 | 1.6899 | 49.6087 | 25.9818 | 45.0914 | 45.1004 |
| 0.2448 | 5.0 | 625 | 1.7540 | 49.7468 | 26.5312 | 45.5623 | 45.5296 |
| 0.1756 | 6.0 | 750 | 1.8287 | 49.4987 | 26.2315 | 45.3515 | 45.4214 |
| 0.13 | 7.0 | 875 | 1.8809 | 49.6426 | 26.4688 | 45.5167 | 45.5427 |
| 0.1016 | 8.0 | 1000 | 1.8813 | 50.1505 | 26.8606 | 46.0203 | 46.0242 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2