metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: distilbart-cnn-12-6-finetuned-weaksup-1000
    results: []

distilbart-cnn-12-6-finetuned-weaksup-1000

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6818
Rouge1: 25.9199
Rouge2: 11.2697
Rougel: 20.3598
Rougelsum: 22.8242
Gen Len: 66.44

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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.644	1.0	1000	1.6818	25.9199	11.2697	20.3598	22.8242	66.44

Framework versions

Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0