MTL-FullFineTune-afri-mt5-base-joint

tadiecool29/MTL-FullFineTune-afri-mt5-base-joint

MTL-FullFineTune-afri-mt5-base-joint is a machine learning model from tadiecool29. 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 afl-3.0.

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

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At a glance

Library: transformers
License: afl-3.0
Model type: mt5
Access: Public
Created: Sep 23, 2026
Updated: Sep 23, 2026
SHA: b8adc04b

Base models

masakhane/afri-mt5-base

Model card

From the Hugging Face model README

MTL-FullFineTune-afri-mt5-base-joint

This model is a fine-tuned version of masakhane/afri-mt5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8665
Exact Match: 0.5536
Sentiment Accuracy: 0.7082
Sentiment Macro F1: 0.6990
Stance Accuracy: 0.7045
Stance Macro F1: 0.7109
Avg Macro F1: 0.7050

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: 0.0003
train_batch_size: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 300
num_epochs: 10
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	Sentiment Accuracy	Sentiment Macro F1	Stance Accuracy	Stance Macro F1	Avg Macro F1
4.4331	1.0	189	2.5095	0.1110	0.3130	0.1214	0.2182	0.0750	0.0982
2.2132	2.0	378	1.9743	0.4140	0.5673	0.5116	0.5362	0.5213	0.5165
1.9958	3.0	567	1.8926	0.5374	0.6708	0.6596	0.6983	0.7026	0.6811
1.9245	4.0	756	1.8677	0.5449	0.6908	0.6855	0.6983	0.7036	0.6945
1.9002	5.0	945	1.8702	0.5499	0.6983	0.6880	0.6870	0.6869	0.6874
1.8719	6.0	1134	1.8703	0.5474	0.7057	0.6939	0.6870	0.6918	0.6928
1.8554	7.0	1323	1.8652	0.5499	0.7082	0.6998	0.7020	0.7096	0.7047
1.8604	8.0	1512	1.8656	0.5524	0.7070	0.6982	0.7045	0.7113	0.7047
1.8424	9.0	1701	1.8664	0.5561	0.7095	0.7001	0.7070	0.7131	0.7066
1.8492	10.0	1890	1.8665	0.5536	0.7082	0.6990	0.7045	0.7109	0.7050

Framework versions

Transformers 5.16.1
Pytorch 2.11.0+cu128
Datasets 4.8.5
Tokenizers 0.23.1

Library: transformers
Type: mt5
License: afl-3.0
Created: Sep 23, 2026
Updated: Sep 23, 2026