t5-base-dutch-finetuned-mt5_base_keyword_extraction_dutch

apatidar0/t5-base-dutch-finetuned-mt5_base_keyword_extraction_dutch

t5-base-dutch-finetuned-mt5_base_keyword_extraction_dutch is a machine learning model from apatidar0. 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: Feb 27, 2024
Updated: Feb 28, 2024
SHA: 1eee82b0

Base models

yhavinga/t5-base-dutch

Model card

From the Hugging Face model README

t5-base-dutch-finetuned-mt5_base_keyword_extraction_dutch

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

Loss: 0.6065
Rouge1: 0.7675
Rouge2: 0.5965
Rougel: 0.7531
Rougelsum: 0.7534

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: 5.6e-05
train_batch_size: 14
eval_batch_size: 14
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 28
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	94	1.2820	0.4332	0.3007	0.4175	0.4174
1.4828	2.0	188	0.9360	0.6075	0.4541	0.5916	0.5912
1.4828	3.0	282	0.7435	0.6542	0.4825	0.6358	0.6366
0.7633	4.0	376	0.6623	0.6867	0.5071	0.6692	0.6697
0.7633	5.0	470	0.6481	0.7061	0.5254	0.6909	0.6913
0.5935	6.0	564	0.6456	0.7155	0.5367	0.6984	0.6995
0.5935	7.0	658	0.6387	0.7162	0.5388	0.6993	0.7001
0.5101	8.0	752	0.6341	0.7247	0.5495	0.7086	0.7102
0.5101	9.0	846	0.6306	0.7335	0.5527	0.7166	0.7176
0.4449	10.0	940	0.6412	0.7324	0.5559	0.7160	0.7166
0.4449	11.0	1034	0.6439	0.7273	0.5513	0.7126	0.7136
0.4001	12.0	1128	0.6294	0.7415	0.5644	0.7266	0.7268
0.4001	13.0	1222	0.6252	0.7447	0.5658	0.7294	0.7296
0.3589	14.0	1316	0.6257	0.7490	0.5743	0.7341	0.7347
0.3589	15.0	1410	0.6132	0.7474	0.5751	0.7339	0.7346
0.3263	16.0	1504	0.6119	0.7616	0.5858	0.7469	0.7470
0.3263	17.0	1598	0.6088	0.7674	0.5945	0.7527	0.7530
0.2989	18.0	1692	0.6108	0.7655	0.5917	0.7510	0.7514
0.2989	19.0	1786	0.6020	0.7681	0.5961	0.7539	0.7545
0.2846	20.0	1880	0.6065	0.7675	0.5965	0.7531	0.7534

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Feb 27, 2024
Updated: Feb 28, 2024