FineTune_Vit5_LR0_00001_time4

thesunshine36/FineTune_Vit5_LR0_00001_time4

FineTune_Vit5_LR0_00001_time4 is a machine learning model from thesunshine36. 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 mit.

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: mit
Model type: t5
Access: Public
Created: Feb 5, 2023
Updated: Dec 14, 2023
SHA: bb52e982

Model card

From the Hugging Face model README

FineTune_Vit5_LR0_00001_time4

This model is a fine-tuned version of thesunshine36/FineTune_Vit5_LR0_00001_time2 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.5291
Validation Loss: 0.5800
Train Rouge1: 52.3493
Train Rouge2: 30.7526
Train Rougel: 43.8269
Train Rougelsum: 43.8511
Train Gen Len: 14.3808
Epoch: 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:

optimizer: {'name': 'Adam', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
0.5291	0.5800	52.3493	30.7526	43.8269	43.8511	14.3808	0

Framework versions

Transformers 4.26.0
TensorFlow 2.9.2
Datasets 2.9.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: mit
Created: Feb 5, 2023
Updated: Dec 14, 2023