literal-support-gec

angelafearn/literal-support-gec

literal-support-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 5, 2026
SHA: 2966365e

Base models

gotutiyan/gec-t5-large-clang8

Model card

From the Hugging Face model README

literal-support-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: 0.0248

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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
0.7081	0.0373	500	0.0491
0.4451	0.0745	1000	0.0393
0.3807	0.1118	1500	0.0361
0.3942	0.1491	2000	0.0366
0.3188	0.1864	2500	0.0331
0.2964	0.2236	3000	0.0318
0.3084	0.2609	3500	0.0317
0.2826	0.2982	4000	0.0309
0.2788	0.3354	4500	0.0309
0.2838	0.3727	5000	0.0301
0.2786	0.4100	5500	0.0291
0.2707	0.4473	6000	0.0283
0.2865	0.4845	6500	0.0289
0.2580	0.5218	7000	0.0278
0.2592	0.5591	7500	0.0270
0.2332	0.5964	8000	0.0273
0.2418	0.6336	8500	0.0269
0.2305	0.6709	9000	0.0264
0.2363	0.7082	9500	0.0261
0.2385	0.7454	10000	0.0259
0.2231	0.7827	10500	0.0256
0.2227	0.8200	11000	0.0254
0.2146	0.8573	11500	0.0253
0.2261	0.8945	12000	0.0252
0.2103	0.9318	12500	0.0251
0.2178	0.9691	13000	0.0248

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 5, 2026