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mbert_vietnamese_nli – AI Model by lyle49 | AlphaNeural AI
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mbert_vietnamese_nli
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transformers
safetensors
bert
text-classification
vietnamese
nli
mbert
natural-language-inference
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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mbert_vietnamese_nli
This model is a fine-tuned version of
google-bert/bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1310
Accuracy: 0.9686
F1 Macro: 0.9686
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: 16
eval_batch_size: 32
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
lr_scheduler_warmup_steps: 300
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
0.5033
1.0
1368
0.1542
0.9558
0.9559
0.2608
2.0
2736
0.1725
0.9584
0.9584
0.239
3.0
4104
0.1310
0.9686
0.9686
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.2
Tokenizers 0.22.1
