bert-base-uncased-finetuned-mrpc-run_1 – AI Model by ege-dgny | AlphaNeural AI

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ege-dgny/
bert-base-uncased-finetuned-mrpc-run_1

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

text-embeddings-inference

endpoints_compatible

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bert-base-uncased-finetuned-mrpc-run_1

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5121
Accuracy: 0.8701

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: 4
eval_batch_size: 4
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
0.5974	1.0	917	0.5213	0.8260
0.4427	2.0	1834	0.5121	0.8701

Framework versions

Transformers 4.57.3
Pytorch 2.9.1
Datasets 4.4.1
Tokenizers 0.22.1