afriberta-small-finetuned-hausa-2e-3

grace-pro/afriberta-small-finetuned-hausa-2e-3

afriberta-small-finetuned-hausa-2e-3 is a token classification model from grace-pro. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

Downloads · 30 days

17% of all-time downloads

All-time downloads

Public

Repo size

2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin330 MB · 98%

At a glance

Task: Token Classification
Library: transformers
Model type: xlm-roberta
Access: Public
Created: Jul 13, 2023
Updated: Jul 13, 2023
SHA: 18858762

Try a prompt

Model card

From the Hugging Face model README

afriberta-small-finetuned-hausa-2e-3

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

Loss: 0.2358
Precision: 0.1719
Recall: 0.0276
F1: 0.0476
Accuracy: 0.9373

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: 0.002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.243	1.0	1312	0.2370	0.1719	0.0276	0.0476	0.9373
0.2448	2.0	2624	0.2406	0.1719	0.0276	0.0476	0.9373
0.2431	3.0	3936	0.2366	0.1719	0.0276	0.0476	0.9373
0.2431	4.0	5248	0.2358	0.1719	0.0276	0.0476	0.9373
0.2409	5.0	6560	0.2358	0.1719	0.0276	0.0476	0.9373

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: xlm-roberta
Created: Jul 13, 2023
Updated: Jul 13, 2023