metadata
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart_large_summarise
results: []
bart_large_summarise
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7389
- Rouge1: 52.9676
- Rouge2: 36.0168
- Rougel: 39.6093
- Rougelsum: 48.2053
- Gen Len: 137.9091
Model description
More information needed
Intended uses & limitations
encoder_max_length = 1024
decoder_max_length = 512
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- label_smoothing_factor: 0.1
Training results
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1