olonok's picture
olonok/t5-large-samsum-lora-summarization
bb7370b verified
|
raw
history blame
No virus
2.54 kB
metadata
license: apache-2.0
base_model: google/flan-t5-large
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: flan-t5-large-samsum
    results: []

flan-t5-large-samsum

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: 48.5905
  • Rouge2: 24.4216
  • Rougel: 41.0265
  • Rougelsum: 44.7321
  • Gen Len: 16.9927

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.0 1.0 1842 nan 48.5905 24.4216 41.0265 44.7321 16.9927
0.0 2.0 3684 nan 48.5905 24.4216 41.0265 44.7321 16.9927
0.0 3.0 5526 nan 48.5905 24.4216 41.0265 44.7321 16.9927
0.0 4.0 7368 nan 48.5905 24.4216 41.0265 44.7321 16.9927
0.0 5.0 9210 nan 48.5905 24.4216 41.0265 44.7321 16.9927
0.0 6.0 11052 nan 48.5905 24.4216 41.0265 44.7321 16.9927
0.0 7.0 12894 nan 48.5905 24.4216 41.0265 44.7321 16.9927
0.0 8.0 14736 nan 48.5905 24.4216 41.0265 44.7321 16.9927
0.0 9.0 16578 nan 48.5905 24.4216 41.0265 44.7321 16.9927
0.0 10.0 18420 nan 48.5905 24.4216 41.0265 44.7321 16.9927

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2