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: 1.4691
Rouge1: 51.1221
Rouge2: 25.9275
Rougel: 41.5903
Rougelsum: 46.7354
Gen Len: 26.89

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	1.5053	49.3903	24.5197	40.7578	45.2724	26.3272

Framework versions

Transformers 4.37.2
Pytorch 2.1.2
Datasets 2.17.0
Tokenizers 0.15.1