metadata

license: apache-2.0
base_model: sshleifer/distilbart-cnn-6-6
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: thesis-bart-finetuned-on-transformed-to-story
    results: []

thesis-bart-finetuned-on-transformed-to-story

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

Loss: 2.9209
Rouge1: 38.2494
Rouge2: 12.1445
Rougel: 20.0146
Rougelsum: 34.2218
Gen Len: 140.3552

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: 16
eval_batch_size: 16
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
3.0361	1.0	2811	2.9209	38.2494	12.1445	20.0146	34.2218	140.3552

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2