metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-combined
results: []
bart-base-combined
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2529
- Rouge1: 39.474
- Rouge2: 15.406
- Rougel: 27.6651
- Rougelsum: 36.2084
- Gen Len: 75.5717
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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 |
|---|---|---|---|---|---|---|---|---|
| 2.5384 | 1.0 | 5435 | 2.3837 | 38.4347 | 14.2933 | 26.4507 | 35.1406 | 80.9404 |
| 2.2422 | 2.0 | 10870 | 2.3314 | 38.8455 | 14.6495 | 27.0452 | 35.4609 | 77.2153 |
| 2.0497 | 3.0 | 16305 | 2.3032 | 39.0212 | 14.8913 | 27.3328 | 35.7033 | 75.7681 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2