lastgrammarmodel

PrabalAryal/lastgrammarmodel

lastgrammarmodel is a machine learning model from PrabalAryal. 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 apache-2.0.

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

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At a glance

Library: transformers
License: apache-2.0
Model type: mt5
Access: Public
Created: Mar 11, 2025
Updated: Mar 11, 2025
SHA: 47cc879c

Base models

google/mt5-small

Model card

From the Hugging Face model README

lastgrammarmodel

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.2934
Train Accuracy: 0.4834
Validation Loss: 0.1958
Validation Accuracy: 0.4934
Epoch: 2

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:

optimizer: {'name': 'Adam', 'weight_decay': 1e-05, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
2.2036	0.3447	0.4342	0.4805	0
0.4909	0.4664	0.2628	0.4904	1
0.2934	0.4834	0.1958	0.4934	2

Framework versions

Transformers 4.47.0
TensorFlow 2.17.1
Datasets 3.3.1
Tokenizers 0.21.0

Library: transformers
Type: mt5
License: apache-2.0
Created: Mar 11, 2025
Updated: Mar 11, 2025