zbigi's picture
End of training
eb85a97 verified
metadata
base_model: facebook/bart-base
library_name: peft
license: apache-2.0
metrics:
  - rouge
tags:
  - generated_from_trainer
model-index:
  - name: bart-base-summarization-medical_on_cnn-50
    results: []

bart-base-summarization-medical_on_cnn-50

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3948
  • Rouge1: 0.2474
  • Rouge2: 0.0918
  • Rougel: 0.1969
  • Rougelsum: 0.2198
  • Gen Len: 18.166

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: 3e-05
  • train_batch_size: 4
  • eval_batch_size: 1
  • seed: 50
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 6
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.7028 1.0 1250 3.3697 0.25 0.0901 0.1969 0.2216 18.807
2.5838 2.0 2500 3.3865 0.2496 0.0904 0.196 0.2207 18.586
2.5612 3.0 3750 3.3752 0.2511 0.0928 0.1984 0.2223 18.311
2.5589 4.0 5000 3.3884 0.2508 0.0931 0.1991 0.2222 18.33
2.5524 5.0 6250 3.3936 0.2477 0.0931 0.1967 0.2204 18.159
2.5314 6.0 7500 3.3948 0.2474 0.0918 0.1969 0.2198 18.166

Framework versions

  • PEFT 0.12.0
  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1