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End of training
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metadata
license: apache-2.0
base_model: allenai/led-base-16384
tags:
  - generated_from_trainer
datasets:
  - xlsum-fi
model-index:
  - name: allenai/led-base-16384
    results: []

allenai/led-base-16384

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

  • Loss: 3.3962
  • Rouge2 Precision: 0.0109
  • Rouge2 Recall: 0.0248
  • Rouge2 Fmeasure: 0.0152

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rouge2 Precision Rouge2 Recall Rouge2 Fmeasure
3.8391 0.32 10 3.5714 0.0062 0.016 0.0089
3.8 0.64 20 3.4777 0.0083 0.0202 0.0115
3.6502 0.96 30 3.3962 0.0109 0.0248 0.0152

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1