results_xlm_roberta – AI Model by planghimire | AlphaNeural AI

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planghimire/
results_xlm_roberta

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

endpoints_compatible

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results_xlm_roberta

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

Loss: 0.0096
Accuracy: 0.9976
Precision: 0.9977
Recall: 0.9976
F1: 0.9976

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: 2e-05
train_batch_size: 32
eval_batch_size: 64
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: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.1064	1.0	212	0.0446	0.9858	0.9860	0.9858	0.9858
0.0406	2.0	424	0.0302	0.9953	0.9953	0.9953	0.9953
0.0184	3.0	636	0.0145	0.9971	0.9971	0.9971	0.9971
0.0054	4.0	848	0.0096	0.9976	0.9977	0.9976	0.9976

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1