FlanT5-small_v1

tuquyennnn/FlanT5-small_v1

FlanT5-small_v1 is a machine learning model from tuquyennnn. 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 peft. The card lists the license as apache-2.0.

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

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Hugging Face

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.safetensors2.8 MB · 46%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: May 10, 2024
Updated: May 10, 2024
SHA: cbbd7999

Base models

google/flan-t5-small

Model card

From the Hugging Face model README

FlanT5-small_v1

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

Loss: nan

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
5313171.968	0.32	250	nan
0.0	0.64	500	nan
0.0	0.96	750	nan
0.0	1.28	1000	nan
0.0	1.61	1250	nan
0.0	1.93	1500	nan
0.0	2.25	1750	nan
0.0	2.57	2000	nan
0.0	2.89	2250	nan
0.0	3.21	2500	nan
0.0	3.53	2750	nan
0.0	3.85	3000	nan
0.0	4.17	3250	nan
0.0	4.49	3500	nan
0.0	4.82	3750	nan
0.0	5.14	4000	nan
0.0	5.46	4250	nan
0.0	5.78	4500	nan

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: May 10, 2024
Updated: May 10, 2024