xlmr_results – AI Model by asipnana | AlphaNeural AI

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asipnana/
xlmr_results

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

endpoints_compatible

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xlmr_results

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: 0.1378
Accuracy: 0.9799
Precision: 0.9766
Recall: 0.9817
F1: 0.9792

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: 16
eval_batch_size: 16
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
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2899	1.0	233	0.1766	0.9686	0.9711	0.9634	0.9672
0.1174	2.0	466	0.1706	0.9698	0.9454	0.9948	0.9695
0.0694	3.0	699	0.1484	0.9761	0.9715	0.9791	0.9753
0.0402	4.0	932	0.1329	0.9786	0.9791	0.9765	0.9778
0.0221	5.0	1165	0.1378	0.9799	0.9766	0.9817	0.9792

Framework versions

Transformers 5.0.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2