Edit model card

my_awesome_eli5_clm-model

This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3071
  • Rouge1: 0.1959
  • Rouge2: 0.1013
  • Rougel: 0.1685
  • Rougelsum: 0.1683
  • Gen Len: 19.0

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: 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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 62 2.7637 0.1277 0.0387 0.1065 0.1066 19.0
No log 2.0 124 2.5350 0.1408 0.0506 0.1165 0.1165 19.0
No log 3.0 186 2.4431 0.1503 0.0589 0.1245 0.1245 19.0
No log 4.0 248 2.3946 0.1774 0.0796 0.1502 0.1501 19.0
No log 5.0 310 2.3601 0.19 0.0939 0.1631 0.1631 19.0
No log 6.0 372 2.3400 0.1952 0.0993 0.1676 0.1676 19.0
No log 7.0 434 2.3238 0.196 0.1003 0.1682 0.1681 19.0
No log 8.0 496 2.3140 0.1973 0.1017 0.1693 0.1692 19.0
2.7599 9.0 558 2.3084 0.1957 0.1009 0.1686 0.1682 19.0
2.7599 10.0 620 2.3071 0.1959 0.1013 0.1685 0.1683 19.0

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
Downloads last month
1
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train h4lo/my_awesome_billsum_model_0921

Evaluation results