RADME_fine_f1

Heejindo/RADME_fine_f1

RADME_fine_f1 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: 8789769d

Model card

From the Hugging Face model README

RADME_fine_f1

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

Loss: 0.3187

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
0.3491	0.95	5000	0.3109
0.3082	1.91	10000	0.2880
0.2772	2.86	15000	0.2798
0.2553	3.82	20000	0.2766
0.2424	4.77	25000	0.2758
0.2292	5.72	30000	0.2785
0.2134	6.68	35000	0.2799
0.2021	7.63	40000	0.2853
0.1912	8.59	45000	0.2893
0.182	9.54	50000	0.2959
0.1734	10.49	55000	0.3005
0.1647	11.45	60000	0.3069
0.1581	12.4	65000	0.3123
0.1538	13.36	70000	0.3147
0.1505	14.31	75000	0.3187

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