model / README.md
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metadata
license: apache-2.0
base_model: facebook/bart-large
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: model
    results: []

model

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

  • Loss: 0.9659
  • Rouge1: 0.6514
  • Rouge2: 0.5278
  • Rougel: 0.6214
  • Rougelsum: 0.6209
  • Gen Len: 19.9082

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.9746 1.0 3363 0.9969 0.6465 0.5254 0.6176 0.6175 19.9014
0.7439 2.0 6726 0.9272 0.6516 0.5291 0.6221 0.6216 19.8652
0.5953 3.0 10089 0.9432 0.6533 0.5293 0.6231 0.6228 19.8943
0.4824 4.0 13452 0.9659 0.6514 0.5278 0.6214 0.6209 19.9082

Framework versions

  • Transformers 4.39.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2