rut5-small-finetuned-gen-description-2

kirillka/rut5-small-finetuned-gen-description-2

rut5-small-finetuned-gen-description-2 is a machine learning model from kirillka. 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 mit.

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

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At a glance

Library: transformers
License: mit
Model type: mt5
Access: Public
Created: May 22, 2022
Updated: May 22, 2022
SHA: 38aa6318

Model card

From the Hugging Face model README

rut5-small-finetuned-gen-description-2

This model is a fine-tuned version of cointegrated/rut5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: nan

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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	422	nan
2.3892	2.0	844	nan
0.0	3.0	1266	nan
0.0	4.0	1688	nan
0.0	5.0	2110	nan

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Library: transformers
Type: mt5
License: mit
Created: May 22, 2022
Updated: May 22, 2022