metadata

license: mit
base_model: facebook/bart-large-xsum
tags:
  - generated_from_trainer
datasets:
  - text-summatization
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 Samsum dataset.

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	1.5054	49.5352	24.54	40.7807	45.3634	26.4444

Framework versions

Transformers 4.37.2
Pytorch 2.1.2
Datasets 2.17.0
Tokenizers 0.15.1