lim-gec

angelafearn/lim-gec

lim-gec is a machine learning model from angelafearn. 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 cc-by-nc-sa-4.0.

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

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At a glance

Library: transformers
License: cc-by-nc-sa-4.0
Model type: t5
Access: Public
Created: Mar 4, 2026
Updated: Mar 6, 2026
SHA: 09e91d8c

Base models

gotutiyan/gec-t5-large-clang8

Model card

From the Hugging Face model README

lim-gec

This model is a fine-tuned version of gotutiyan/gec-t5-large-clang8 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0217

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: 0.0003
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.4193	0.1348	500	0.0352
0.3001	0.2697	1000	0.0286
0.2633	0.4045	1500	0.0260
0.2293	0.5394	2000	0.0246
0.2215	0.6742	2500	0.0236
0.2161	0.8090	3000	0.0221
0.2158	0.9439	3500	0.0217

Framework versions

Transformers 5.2.0
Pytorch 2.7.0+cu126
Datasets 4.6.1
Tokenizers 0.22.2

Library: transformers
Type: t5
License: cc-by-nc-sa-4.0
Created: Mar 4, 2026
Updated: Mar 6, 2026