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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: led-base-16384-100-MDS
    results: []

led-base-16384-100-MDS

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: 4.1425
  • Rouge1: 16.7324
  • Rouge2: 5.8501
  • Rougel: 13.908
  • Rougelsum: 13.8469
  • 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: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 25 3.6187 15.1426 4.2468 13.4488 13.38 20.0
No log 2.0 50 3.9873 13.4341 3.3283 10.2739 10.8229 20.0
No log 3.0 75 4.0264 18.1891 5.3395 15.0797 15.3586 20.0
No log 4.0 100 4.0929 17.0091 5.5336 14.4381 14.5149 19.5
No log 5.0 125 4.1425 16.7324 5.8501 13.908 13.8469 20.0

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.2
  • Datasets 1.18.3
  • Tokenizers 0.11.0