t5-small_te

lesha-grishchenko/t5-small_te

t5-small_te is a machine learning model from lesha-grishchenko. 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. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: May 3, 2024
Updated: May 3, 2024
SHA: 92980dae

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

t5-small_te

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.3265
Bleu: 0.0092
Gen Len: 19.0

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.5956	1.0	2420	2.3878	0.0089	19.0
2.5233	2.0	4840	2.3381	0.0092	19.0
2.4908	3.0	7260	2.3265	0.0092	19.0

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: May 3, 2024
Updated: May 3, 2024