bert-base-uncased-finetuned-mrpc-run_3 – AI Model by efekockan13 | AlphaNeural AI

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efekockan13/
bert-base-uncased-finetuned-mrpc-run_3

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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_3

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: 0.4601
Accuracy: 0.8064

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: 4.789747907497722e-06
train_batch_size: 64
eval_batch_size: 128
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	58	0.5950	0.7034
No log	2.0	116	0.5252	0.7475
No log	3.0	174	0.4999	0.7647
No log	4.0	232	0.4829	0.7892
No log	5.0	290	0.4703	0.7966
No log	6.0	348	0.4602	0.8039
No log	7.0	406	0.4624	0.8113
No log	8.0	464	0.4621	0.8113
0.4453	9.0	522	0.4620	0.8113
0.4453	10.0	580	0.4601	0.8064

Framework versions

Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1