metadata

license: mit
base_model: facebook/bart-large-xsum
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: ft-facebook-bart-large-xsum-on-samsum
    results: []

ft-facebook-bart-large-xsum-on-samsum

This model is a fine-tuned version of facebook/bart-large-xsum on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.4729
Rouge1: 51.3813
Rouge2: 26.047
Rougel: 41.6592
Rougelsum: 46.9197
Gen Len: 26.9132

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	0.22	100	1.5097	49.4918	24.5286	40.6306	45.1844	26.4786

Framework versions

Transformers 4.37.2
Pytorch 2.1.2
Datasets 2.17.0
Tokenizers 0.15.1