t5-small-wikilarge-text-simplification-penalty-loss

bogdancazan/t5-small-wikilarge-text-simplification-penalty-loss

t5-small-wikilarge-text-simplification-penalty-loss is a machine learning model from bogdancazan. 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.

should 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: Jun 10, 2023
Updated: Jun 12, 2023
SHA: 1a0fc014

Model card

From the Hugging Face model README

t5-small-wikilarge-text-simplification-penalty-loss

This model is a fine-tuned version of bogdancazan/t5-small-wikilarge-text-simplification-penalty-loss on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4930

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:

learning_rate: 0.0002
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.5161	1.0	4652	0.4997
0.4764	2.0	9304	0.4956
0.4621	3.0	13956	0.4935
0.4826	4.0	18608	0.4930

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 10, 2023
Updated: Jun 12, 2023