flan-t5-ellis

gsl22/flan-t5-ellis

flan-t5-ellis is a machine learning model from gsl22. 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: Oct 11, 2023
Updated: Dec 20, 2023
SHA: 292d17f2

Base models

google/flan-t5-base

Model card

From the Hugging Face model README

flan-t5-ellis

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8109

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss
0.995	9.96	500	0.8963
0.7497	19.93	1000	0.7965
0.6163	29.89	1500	0.7912
0.5471	39.85	2000	0.8116
0.5249	49.81	2500	0.8109

Framework versions

Transformers 4.31.0
Pytorch 2.1.0+cu121
Datasets 2.13.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Oct 11, 2023
Updated: Dec 20, 2023