Edit model card

bart-base-xsum

Training: The model has been trained using the script provided in the following repository https://github.com/MorenoLaQuatra/transformers-tasks-templates

This model is a fine-tuned version of facebook/bart-base on xsum dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8051
  • R1: 0.5643
  • R2: 0.3017
  • Rl: 0.5427
  • Rlsum: 0.5427

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: 32
  • eval_batch_size: 32
  • 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: 10

Training results

Training Loss Epoch Step Validation Loss R1 R2 Rl Rlsum
0.8983 1.0 6377 0.8145 0.5443 0.2724 0.5212 0.5211
0.8211 2.0 12754 0.7940 0.5519 0.2831 0.5295 0.5295
0.7701 3.0 19131 0.7839 0.5569 0.2896 0.5347 0.5348
0.7046 4.0 25508 0.7792 0.5615 0.2956 0.5394 0.5393
0.6837 5.0 31885 0.7806 0.5631 0.2993 0.5416 0.5416
0.6412 6.0 38262 0.7816 0.5643 0.301 0.5427 0.5426
0.6113 7.0 44639 0.7881 0.5645 0.3017 0.5428 0.5428
0.5855 8.0 51016 0.7921 0.5651 0.303 0.5433 0.5432
0.5636 9.0 57393 0.7972 0.5649 0.3032 0.5433 0.5433
0.5482 10.0 63770 0.7996 0.565 0.3036 0.5436 0.5435

Framework versions

  • Transformers 4.22.1
  • Pytorch 1.11.0+cu113
  • Datasets 2.0.0
  • Tokenizers 0.11.6
Downloads last month
4
Safetensors
Model size
139M params
Tensor type
F32
·

Finetuned from

Evaluation results