salbatarni's picture
End of training
317285b verified
metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: flan-t5-small-asap_t4_f4_prompt_adherence
    results: []

flan-t5-small-asap_t4_f4_prompt_adherence

This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0597
  • Rouge1: 83.822
  • Rouge2: 79.5644
  • Rougel: 83.8414
  • Rougelsum: 83.8601
  • Gen Len: 12.1384

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: 5

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 266 0.0783 82.3137 77.2617 82.3362 82.3581 12.1836
0.4094 2.0 532 0.0676 82.9368 78.4362 82.962 82.9633 12.1356
0.4094 3.0 798 0.0571 84.7957 80.9486 84.8665 84.8224 12.1963
0.0756 4.0 1064 0.0577 84.5562 80.4996 84.5733 84.5457 12.1667
0.0756 5.0 1330 0.0597 83.822 79.5644 83.8414 83.8601 12.1384

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2