Edit model card

finetuned_bart_jb_v1

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

  • Loss: 1.5653
  • Rouge1: 48.6712
  • Rouge2: 46.6588
  • Rougel: 48.689
  • Rougelsum: 48.6743
  • Gen Len: 59.1503

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 5
  • label_smoothing_factor: 0.1

Training results

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
6
Safetensors
Model size
406M params
Tensor type
F32
·
Inference API
Unable to determine this model's library. Check the docs .

Model tree for s8n29/finetuned_bart_jb_v1

Finetuned
(297)
this model