xlm-roberta-large-classifier – AI Model by PracticalWork | AlphaNeural AI

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PracticalWork/
xlm-roberta-large-classifier

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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xlm-roberta-large-classifier

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

Loss: 0.3918
Accuracy: 0.8353
F1: 0.7325

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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
No log	0	0	0.6059	0.7106	0.1957
No log	0.6006	188	0.4820	0.7826	0.6
No log	1.2013	376	0.4764	0.7858	0.5553
0.5275	1.8019	564	0.5046	0.7738	0.6519
0.5275	2.4026	752	0.4234	0.8233	0.7041
0.5275	3	939	0.3918	0.8353	0.7325

Framework versions

Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2