ft5

reza-alipour/ft5

ft5 is a machine learning model from reza-alipour. 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.

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

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At a glance

Library: transformers
Model type: t5
Access: Public
Created: Nov 25, 2023
Updated: Nov 28, 2023
SHA: c50d4333

Datasets

reza-alipour/Text-Edit-Instruct-Preprocessed-4m

Model card

From the Hugging Face model README

ft5

This model is a fine-tuned version of reza-alipour/ft5 on the reza-alipour/Text-Edit-Instruct-Preprocessed-4m dataset. It achieves the following results on the evaluation set:

Loss: 0.3032
Rouge1: 86.5313
Rouge2: 75.3351
Rougel: 85.9565
Rougelsum: 85.9785
Gen Len: 24.5688

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: 7e-05
train_batch_size: 4
eval_batch_size: 4
seed: 1337
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.3601	1.0	31042	0.3032	86.5313	75.3351	85.9565	85.9785	24.5688

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0

Library: transformers
Type: t5
Created: Nov 25, 2023
Updated: Nov 28, 2023