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Hallucination_Detection-Legendary-and-Mighty-Capybara – AI Model by MpMan123 | AlphaNeural AI
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MpMan123
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Hallucination_Detection-Legendary-and-Mighty-Capybara
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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Hallucination_Detection-Legendary-and-Mighty-Capybara
This model is a fine-tuned version of
bert-base-multilingual-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9388
Accuracy: 0.5271
F1 Macro: 0.5254
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 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
0.9643
1.0
350
0.9565
0.5129
0.5141
0.8786
2.0
700
0.9388
0.5271
0.5254
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
