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metadata
license: mit
library_name: peft
tags:
  - generated_from_trainer
base_model: Shre09/bart-cnn-samsum-finetuned
model-index:
  - name: bart-cnn-samsum-peft
    results: []

bart-cnn-samsum-peft

This model is a fine-tuned version of Shre09/bart-cnn-samsum-finetuned on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1415

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: 1e-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
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
0.0794 1.0 37 0.1410
0.0845 2.0 74 0.1414
0.0894 3.0 111 0.1416
0.073 4.0 148 0.1415
0.0807 5.0 185 0.1415

Framework versions

  • PEFT 0.10.0
  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2