xlmr_english_immigration1 – AI Model by AnonymousCS | AlphaNeural AI

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AnonymousCS/
xlmr_english_immigration1

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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xlmr_english_immigration1

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2919
Accuracy: 0.9154
1-f1: 0.8706
1-recall: 0.8605
1-precision: 0.8810
Balanced Acc: 0.9015

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: 128
eval_batch_size: 128
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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.2078	1.0	5	0.2712	0.9154	0.8736	0.8837	0.8636	0.9074
0.1325	2.0	10	0.2784	0.9077	0.8571	0.8372	0.8780	0.8899
0.1726	3.0	15	0.2919	0.9154	0.8706	0.8605	0.8810	0.9015

Framework versions

Transformers 4.56.0.dev0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4