xlm-roberta-base-afr – AI Model by FrinzTheCoder | AlphaNeural AI

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FrinzTheCoder/
xlm-roberta-base-afr

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base-afr

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

Loss: 0.1171
Accuracy: 0.7395
F1 Binary: 0.4241
Precision: 0.2883
Recall: 0.8011

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: 3e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 18
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Binary	Precision	Recall
No log	1.0	184	0.1042	0.6048	0.3622	0.2245	0.9375
No log	2.0	368	0.1271	0.8497	0.4920	0.4131	0.6080
0.1252	3.0	552	0.1223	0.7381	0.4193	0.2854	0.7898
0.1252	4.0	736	0.1171	0.7395	0.4241	0.2883	0.8011

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.21.0