sum_model

chowdhuryshaif/sum_model

sum_model is a machine learning model from chowdhuryshaif. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Aug 30, 2023
Updated: Aug 30, 2023
SHA: df17b75a

Base models

Model card

From the Hugging Face model README

sum_model

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

Train Loss: 0.7877
Validation Loss: 0.5301
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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
1.2568	0.8907	0
1.0182	0.7418	1
0.8905	0.6272	2
0.7877	0.5301	3

Framework versions

Transformers 4.32.1
TensorFlow 2.13.0
Datasets 2.14.4
Tokenizers 0.12.1

Library: transformers
Type: t5
License: apache-2.0
Created: Aug 30, 2023
Updated: Aug 30, 2023