RADME_fine_f3

Heejindo/RADME_fine_f3

RADME_fine_f3 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. --

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Hugging Face

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At a glance

Model type: t5
Access: Public
Created: Feb 12, 2025
Updated: Feb 12, 2025
SHA: 842303a5

Model card

From the Hugging Face model README

RADME_fine_f3

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

Loss: 0.3192

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
0.3469	0.95	5000	0.3094
0.3102	1.91	10000	0.2894
0.2806	2.86	15000	0.2793
0.2604	3.81	20000	0.2748
0.2414	4.77	25000	0.2756
0.228	5.72	30000	0.2784
0.2139	6.67	35000	0.2815
0.2016	7.63	40000	0.2848
0.1924	8.58	45000	0.2917
0.1802	9.53	50000	0.2954
0.172	10.49	55000	0.3022
0.1646	11.44	60000	0.3085
0.1586	12.4	65000	0.3114
0.1553	13.35	70000	0.3154
0.1509	14.3	75000	0.3192

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