T5_Ru_VKR

Megnis/T5_Ru_VKR

T5_Ru_VKR is a machine learning model from Megnis. 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

3% of all-time downloads

All-time downloads

Public

Parameters

60.5M

727 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors242 MB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: May 19, 2024
Updated: May 23, 2024
SHA: a3592fcb

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

T5_Ru_VKR

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

Loss: 1.8474
Rouge1: 0.0229
Rouge2: 0.0135
Rougel: 0.0228
Rougelsum: 0.0227
Gen Len: 18.845

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: 2e-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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	100	1.9287	0.0246	0.0135	0.0245	0.0242	18.865
No log	2.0	200	1.8761	0.0213	0.0135	0.0212	0.021	18.845
No log	3.0	300	1.8454	0.0213	0.0135	0.0212	0.021	18.845
No log	4.0	400	1.8474	0.0229	0.0135	0.0228	0.0227	18.845

Framework versions

Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: May 19, 2024
Updated: May 23, 2024