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xlm-roberta-base-hoax – AI Model by FarhanAmin0068 | AlphaNeural AI
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FarhanAmin0068
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xlm-roberta-base-hoax
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-hoax
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: 0.4996
Precision: 0.7276
Recall: 0.6918
Accuracy: 0.8002
F1: 0.7055
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 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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
Accuracy
F1
No log
1.0
192
0.4830
0.6896
0.6826
0.7738
0.6859
No log
2.0
384
0.4713
0.7313
0.6650
0.7992
0.6843
0.4781
3.0
576
0.4996
0.7276
0.6918
0.8002
0.7055
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
