mt5-base-torch

Evuv/mt5-base-torch

mt5-base-torch is a machine learning model from Evuv. 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: May 26, 2023
Updated: May 26, 2023
SHA: 3d17c01d

Model card

From the Hugging Face model README

mt5-base-torch

This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.0425
Rouge1: 0.0824
Rouge2: 0.011
Rougel: 0.0721
Rougelsum: 0.0721
Gen Len: 18.2575

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
4.199	1.0	1600	3.1896	0.0865	0.0116	0.0746	0.0746	18.06
3.8499	2.0	3200	3.1142	0.0905	0.0109	0.0773	0.0774	18.1925
3.6877	3.0	4800	3.0694	0.083	0.0113	0.0719	0.0719	18.44
3.571	4.0	6400	3.0425	0.0824	0.011	0.0721	0.0721	18.2575

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: mt5
License: apache-2.0
Created: May 26, 2023
Updated: May 26, 2023