CoolFace
Modelpublic

hasan-mr/t5-small-finetuned-summarization-billsum

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
0likes7downloads
Model Card

<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->

hasan-mr/t5-small-finetuned-summarization-billsum

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

  • —Train Loss: 2.5791
  • —Validation Loss: 2.3660
  • —Train Rougel: tf.Tensor(0.129898, shape=(), dtype=float32)
  • —Epoch: 3

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:

  • —optimizer: {'name': 'AdamWeightDecay', 'learningrate': 2e-05, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weightdecay_rate': 0.01}
  • —trainingprecision: mixedfloat16

Training results

Train LossValidation LossTrain RougelEpoch
3.37462.7009tf.Tensor(0.10603927, shape=(), dtype=float32)0
2.82892.5104tf.Tensor(0.108828835, shape=(), dtype=float32)1
2.66722.4200tf.Tensor(0.1210279, shape=(), dtype=float32)2
2.57912.3660tf.Tensor(0.129898, shape=(), dtype=float32)3

Framework versions

  • —Transformers 4.34.0
  • —TensorFlow 2.14.0
  • —Datasets 2.14.5
  • —Tokenizers 0.14.1