RADME_fine_f2

Heejindo/RADME_fine_f2

RADME_fine_f2 is a machine learning model from Heejindo. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

Downloads · 30 days

42% of all-time downloads

All-time downloads

Public

Repo size

3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin3 GB · 100%

At a glance

Model type: t5
Access: Public
Created: Feb 12, 2025
Updated: Feb 12, 2025
SHA: 6472bf17

Model card

From the Hugging Face model README

RADME_fine_f2

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3229

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 3
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.3451	0.95	5000	0.3071
0.3005	1.91	10000	0.2879
0.2738	2.86	15000	0.2796
0.2572	3.81	20000	0.2768
0.2382	4.77	25000	0.2778
0.2262	5.72	30000	0.2770
0.2111	6.68	35000	0.2810
0.199	7.63	40000	0.2881
0.1896	8.58	45000	0.2940
0.1799	9.54	50000	0.2986
0.1702	10.49	55000	0.3054
0.1631	11.44	60000	0.3095
0.1555	12.4	65000	0.3157
0.1503	13.35	70000	0.3199
0.1478	14.3	75000	0.3229

Framework versions

Transformers 4.32.1
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3

Type: t5
Created: Feb 12, 2025
Updated: Feb 12, 2025