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

bart-cnn-samsum-peft

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

  • Loss: 0.1345

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
0.0788 1.0 19 0.1344
0.0873 2.0 38 0.1345
0.0777 3.0 57 0.1345
0.0796 4.0 76 0.1345
0.0924 5.0 95 0.1345

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1