metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-finetuned-findsum
results: []
bart-base-finetuned-findsum
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: 1.8402
- Rouge1: 6.8778
- Rouge2: 3.2689
- Rougel: 6.1322
- Rougelsum: 6.5067
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: 16
- eval_batch_size: 16
- 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 |
---|---|---|---|---|---|---|---|
No log | 1.0 | 500 | 1.9816 | 6.8051 | 3.19 | 6.0519 | 6.4262 |
2.2143 | 2.0 | 1000 | 1.8705 | 6.8637 | 3.2288 | 6.1205 | 6.4957 |
2.2143 | 3.0 | 1500 | 1.8402 | 6.8778 | 3.2689 | 6.1322 | 6.5067 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2