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thesis-led-finetuned

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metadata
license: apache-2.0
base_model: allenai/led-base-16384
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: thesis-led-finetuned
    results: []

thesis-led-finetuned

This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.1409
  • Rouge1: 11.3075
  • Rouge2: 4.0034
  • Rougel: 8.5589
  • Rougelsum: 10.2381
  • Gen Len: 20.0

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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.2249 1.0 11243 2.1409 11.3075 4.0034 8.5589 10.2381 20.0

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2