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bert-base-uncased-mrpc-best – AI Model by edademireleda | AlphaNeural AI
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edademireleda
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bert-base-uncased-mrpc-best
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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bert-base-uncased-mrpc-best
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5108
Accuracy: 0.7391
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: 9.176408645460838e-06
train_batch_size: 32
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5844
1.0
115
0.5511
0.7083
0.5265
2.0
230
0.5047
0.7304
0.4775
3.0
345
0.4855
0.7426
Framework versions
Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 2.19.1
Tokenizers 0.22.1
