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

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FrinzTheCoder/
xlm-roberta-base-sun

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base-sun

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: 0.1042
Accuracy: 0.7901
F1 Binary: 0.6199
Precision: 0.5413
Recall: 0.7252

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: 13
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Binary	Precision	Recall
No log	1.0	139	0.1393	0.8405	0.6040	0.7297	0.5153
No log	2.0	278	0.1198	0.8297	0.6441	0.6357	0.6527
No log	3.0	417	0.1062	0.8009	0.6286	0.5616	0.7137
0.1037	4.0	556	0.1042	0.7901	0.6199	0.5413	0.7252

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.21.0