metadata
license: apache-2.0
base_model: GuysTrans/bart-base-re-attention
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-re-attention
results: []
bart-base-re-attention
This model is a fine-tuned version of GuysTrans/bart-base-re-attention on the None dataset. It achieves the following results on the evaluation set:
- Loss: 9.2889
- Rouge1: 10.2401
- Rouge2: 0.5184
- Rougel: 7.2688
- Rougelsum: 9.66
- 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.1926 | 1.0 | 22880 | 9.2889 | 10.2401 | 0.5184 | 7.2688 | 9.66 | 20.0 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3