flant5-small-finetuning

tuquyennnn/flant5-small-finetuning

flant5-small-finetuning 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 transformers. The card lists the license as apache-2.0.

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

Downloads · 30 days

15% of all-time downloads

All-time downloads

Public

Parameters

77M

172 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors171 MB · 98%

Parameter types

How the weights are stored.

F1668.6M · 89%

Base models

google/flan-t5-small

Model card

From the Hugging Face model README

flant5-small-finetuning

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
35680616.448	0.64	500	nan
0.0	1.28	1000	nan
0.0	1.93	1500	nan
0.0	2.57	2000	nan
0.0	3.21	2500	nan
0.0	3.85	3000	nan
0.0	4.49	3500	nan
0.0	5.14	4000	nan
0.0	5.78	4500	nan

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.19.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: May 6, 2024
Updated: May 6, 2024