metadata

license: mit
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart-large-cnn-finetuned-weaksup-100-pad-early
    results: []

bart-large-cnn-finetuned-weaksup-100-pad-early

This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0714
Rouge1: 26.6767
Rouge2: 8.6321
Rougel: 17.4235
Rougelsum: 21.6089
Gen Len: 66.1

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	100	1.0405	26.8313	10.4295	19.1329	23.8101	64.6
No log	2.0	200	1.0714	26.6767	8.6321	17.4235	21.6089	66.1

Framework versions

Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0