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bert-base-mnli-yarin – AI Model by yarinds | AlphaNeural AI
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bert-base-mnli-yarin
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transformers
safetensors
bert
text-classification
generated_from_trainer
en
glue
google-bert/bert-base-uncased
finetune
apache-2.0
model-index
text-embeddings-inference
endpoints_compatible
us
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bert-base-mnli-yarin
This model is a fine-tuned version of
bert-base-uncased
on the GLUE MNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.4951
Accuracy: 0.8507
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: 3e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Use 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: 3.0
Training results
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.7.0
Tokenizers 0.22.2
