metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: dialogue-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: 48.0133
dialogue-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: 0.3249
- Rouge1: 48.0133
- Rouge2: 24.9057
- Rougel: 40.6842
- Rougelsum: 40.6602
- Gen Len: 18.2384
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.3968 | 0.9997 | 1841 | 0.3374 | 47.4452 | 24.2213 | 40.0832 | 40.024 | 18.3875 |
| 0.3432 | 2.0 | 3683 | 0.3270 | 47.721 | 24.8189 | 40.4846 | 40.4736 | 18.143 |
| 0.324 | 2.9992 | 5523 | 0.3249 | 48.0133 | 24.9057 | 40.6842 | 40.6602 | 18.2384 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1