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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: flan-t5-large-finetuned-xsum
    results: []

flan-t5-large-finetuned-xsum

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

  • Loss: nan
  • Rouge1: 14.0152
  • Rouge2: 6.2802
  • Rougel: 13.7963
  • Rougelsum: 13.9306
  • Gen Len: 6.8696

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: 16
  • eval_batch_size: 16
  • seed: 42
  • 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 13 nan 14.0152 6.2802 13.7963 13.9306 6.8696
No log 2.0 26 nan 14.0152 6.2802 13.7963 13.9306 6.8696
No log 3.0 39 nan 14.0152 6.2802 13.7963 13.9306 6.8696
No log 4.0 52 nan 14.0152 6.2802 13.7963 13.9306 6.8696
No log 5.0 65 nan 14.0152 6.2802 13.7963 13.9306 6.8696
No log 6.0 78 nan 14.0152 6.2802 13.7963 13.9306 6.8696
No log 7.0 91 nan 14.0152 6.2802 13.7963 13.9306 6.8696
No log 8.0 104 nan 14.0152 6.2802 13.7963 13.9306 6.8696
No log 9.0 117 nan 14.0152 6.2802 13.7963 13.9306 6.8696
No log 10.0 130 nan 14.0152 6.2802 13.7963 13.9306 6.8696

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.0
  • Tokenizers 0.13.3