t5-math-model

Solutionsmedia/t5-math-model

t5-math-model is a machine learning model from Solutionsmedia. 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.

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

Downloads · 30 days

1% of all-time downloads

All-time downloads

301

Public

Parameters

60.5M

19.8 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors242 MB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 10, 2025
Updated: Mar 10, 2025
SHA: df01f8b2

Model card

From the Hugging Face model README

t5-math-model

This model is a fine-tuned version of Solutionsmedia/t5-math-model on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5010

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5678	0.4	50	0.5178
0.5539	0.8	100	0.5132
0.5412	1.2	150	0.5098
0.5391	1.6	200	0.5097
0.4775	2.0	250	0.5084
0.5456	2.4	300	0.5045
0.5331	2.8	350	0.5033
0.4802	3.2	400	0.5026
0.5832	3.6	450	0.5026
0.5087	4.0	500	0.5014
0.5032	4.4	550	0.5011
0.5697	4.8	600	0.5010

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 10, 2025
Updated: Mar 10, 2025