xlmr_multilabel_websites – AI Model by rgusseinov | AlphaNeural AI

You can deploy this model and start earning money today!

rgusseinov/
xlmr_multilabel_websites

like

0

text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

text-embeddings-inference

endpoints_compatible

Views

No views yet

xlmr_multilabel_websites

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: 0.4138
Accuracy: 0.8857
F1 Macro: 0.8854
Precision Macro: 0.9113
Recall Macro: 0.8665

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Precision Macro	Recall Macro
1.0316	1.0	41	0.8149	0.7	0.5853	0.8727	0.5673
0.7677	2.0	82	0.5259	0.8786	0.8794	0.9063	0.8598
0.5379	3.0	123	0.4138	0.8857	0.8854	0.9113	0.8665

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2