mt5-small-finetuned-MultiHead-230215

Shularp/mt5-small-finetuned-MultiHead-230215

mt5-small-finetuned-MultiHead-230215 is a machine learning model from Shularp. 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: mt5
Access: Public
Created: Feb 15, 2023
Updated: Feb 15, 2023
SHA: 7463d46b

Model card

From the Hugging Face model README

mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230215

This model is a fine-tuned version of Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.0046
Bleu: 17.7500

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
2.4438	1.0	33611	2.0445	16.6555
2.3878	2.0	67222	2.0143	17.3884
2.3861	3.0	100833	2.0046	17.7500

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Library: transformers
Type: mt5
License: apache-2.0
Created: Feb 15, 2023
Updated: Feb 15, 2023