t5-small-finetuned-facet-contract-type

xander71988/t5-small-finetuned-facet-contract-type

t5-small-finetuned-facet-contract-type is a machine learning model from xander71988. 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. --

Downloads · 30 days

3% of all-time downloads

All-time downloads

275

Public

Repo size

1.5 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.h5374 MB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Feb 3, 2023
Updated: Feb 3, 2023
SHA: ba5bdd60

Model card

From the Hugging Face model README

xander71988/t5-small-finetuned-facet-contract-type

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: 0.1701
Validation Loss: 0.1605
Epoch: 6

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 7000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
0.8446	0.3244	0
0.2976	0.1945	1
0.2240	0.1686	2
0.1970	0.1763	3
0.1866	0.1548	4
0.1793	0.1565	5
0.1701	0.1605	6

Framework versions

Transformers 4.26.0
TensorFlow 2.11.0
Datasets 2.9.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Feb 3, 2023
Updated: Feb 3, 2023