metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-finetuned-xsum
results: []
bart-base-finetuned-xsum
This model is a fine-tuned version of GuysTrans/bart-base-finetuned-xsum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1545
- Rouge1: 15.6747
- Rouge2: 11.2773
- Rougel: 14.9081
- Rougelsum: 15.4666
- Bleu-1: 0.0052
- Bleu-2: 0.0047
- Bleu-3: 0.0045
- Bleu-4: 0.0043
- Gen Len: 20.0
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: 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2.2196 | 1.0 | 28600 | 1.1545 | 15.6747 | 11.2773 | 14.9081 | 15.4666 | 0.0052 | 0.0047 | 0.0045 | 0.0043 | 20.0 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3