xlm_roberta_SA_ARABIC_ENGLISH_Emojees – AI Model by MinaNasser | AlphaNeural AI

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MinaNasser/
xlm_roberta_SA_ARABIC_ENGLISH_Emojees

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

text-embeddings-inference

endpoints_compatible

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xlm_roberta_SA_ARABIC_ENGLISH_Emojees

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

Loss: 0.3703
Accuracy: 0.8781
F1: 0.8781
Precision: 0.8782
Recall: 0.8781

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: 128
eval_batch_size: 256
seed: 42
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: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
label_smoothing_factor: 0.05

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.3243	1.0	1395	0.3144	0.8627	0.8627	0.8630	0.8627
0.2823	2.0	2790	0.2978	0.8718	0.8717	0.8726	0.8718
0.2184	3.0	4185	0.3051	0.8781	0.8781	0.8781	0.8781
0.1662	4.0	5580	0.3446	0.8778	0.8778	0.8779	0.8778
0.1477	5.0	6975	0.3703	0.8781	0.8781	0.8782	0.8781

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2