t5-small-finetuned-billsum-new

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

t5-small-finetuned-billsum-new is a machine learning model from hasan-mr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Oct 17, 2023
Updated: Oct 17, 2023
SHA: 9aa602db

Base models

Model card

From the Hugging Face model README

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

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: 2.5921
Validation Loss: 2.2964
Train Rougel: tf.Tensor(0.13462597, 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', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Rougel	Epoch
3.3896	2.6443	tf.Tensor(0.11178743, shape=(), dtype=float32)	0
2.8453	2.4532	tf.Tensor(0.112842746, shape=(), dtype=float32)	1
2.6816	2.3564	tf.Tensor(0.12544203, shape=(), dtype=float32)	2
2.5921	2.2964	tf.Tensor(0.13462597, shape=(), dtype=float32)	3

Framework versions

Transformers 4.34.0
TensorFlow 2.14.0
Datasets 2.14.5
Tokenizers 0.14.1

Library: transformers
Type: t5
License: apache-2.0
Created: Oct 17, 2023
Updated: Oct 17, 2023