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run1

This model is a fine-tuned version of google/flan-t5-base on the sem_eval_2024_task_2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3506
  • Rouge1: 59.0
  • Rouge2: 0.0
  • Rougel: 59.0
  • Rougelsum: 58.75
  • Gen Len: 2.0

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: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 212 0.3327 58.0 0.0 58.0 58.0 2.0
0.3828 2.0 425 0.3269 59.0 0.0 59.0 59.0 2.0
0.3828 3.0 637 0.3392 59.0 0.0 59.0 59.0 2.0
0.3608 4.0 850 0.3264 60.5 0.0 60.5 60.5 2.0
0.3608 5.0 1062 0.3293 59.0 0.0 59.0 59.0 2.0
0.3494 6.0 1275 0.3324 60.5 0.0 60.5 60.5 2.0
0.3494 7.0 1487 0.3448 61.0 0.0 61.0 61.0 2.0
0.3328 8.0 1700 0.3462 59.5 0.0 59.5 59.5 2.0
0.3328 9.0 1912 0.3491 59.5 0.0 59.5 59.5 2.0
0.3328 9.98 2120 0.3506 59.0 0.0 59.0 58.75 2.0

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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Finetuned from

Evaluation results