angela_untranslated_shuffle_eval – AI Model by azhang1212 | AlphaNeural AI

You can deploy this model and start earning money today!

azhang1212/
angela_untranslated_shuffle_eval

like

0

token-classification

generated_from_trainer

Davlan/afro-xlmr-base

autotrain_compatible

endpoints_compatible

Views

No views yet

angela_untranslated_shuffle_eval

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

Loss: 0.3091
Precision: 0.4310
Recall: 0.2192
F1: 0.2906
Accuracy: 0.9226

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: 5e-05
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
0.1519	1.0	1283	0.2417	0.4089	0.1276	0.1945	0.9203
0.1302	2.0	2566	0.2321	0.4342	0.1198	0.1878	0.9215
0.1082	3.0	3849	0.2712	0.4270	0.1816	0.2548	0.9215
0.0883	4.0	5132	0.2998	0.4480	0.2006	0.2771	0.9233
0.0715	5.0	6415	0.3091	0.4310	0.2192	0.2906	0.9226

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3