RADME_fine_f4

Heejindo/RADME_fine_f4

RADME_fine_f4 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: dd7159bc

Model card

From the Hugging Face model README

RADME_fine_f4

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

Loss: 0.3141

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
0.3477	0.95	5000	0.3100
0.3067	1.91	10000	0.2889
0.2787	2.86	15000	0.2791
0.2573	3.81	20000	0.2767
0.2434	4.77	25000	0.2740
0.2256	5.72	30000	0.2772
0.2152	6.67	35000	0.2799
0.2026	7.63	40000	0.2833
0.1925	8.58	45000	0.2884
0.1838	9.53	50000	0.2926
0.1744	10.49	55000	0.2979
0.1669	11.44	60000	0.3034
0.1612	12.39	65000	0.3087
0.1548	13.35	70000	0.3127
0.1529	14.3	75000	0.3141

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