metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-finetuned-explanation
results: []
bart-base-finetuned-explanation
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2148
- Rouge1: 0.1029
- Rouge2: 0.0092
- Rougel: 0.1032
- Rougelsum: 0.1037
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.8399 | 1.0 | 119 | 0.2340 | 0.0924 | 0.0061 | 0.0882 | 0.0871 |
| 0.2248 | 2.0 | 238 | 0.2141 | 0.0964 | 0.0094 | 0.0891 | 0.0902 |
| 0.179 | 3.0 | 357 | 0.2148 | 0.1029 | 0.0092 | 0.1032 | 0.1037 |
Framework versions
- Transformers 4.41.2
- Pytorch 1.11.0
- Datasets 2.19.2
- Tokenizers 0.19.1