test-trainer-glue-mrpc – AI Model by P3ps | AlphaNeural AI

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P3ps/
test-trainer-glue-mrpc

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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test-trainer-glue-mrpc

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

Loss: 0.6850
Accuracy: {'accuracy': 0.8627450980392157}
F1: 0.9024

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	459	0.3762	{'accuracy': 0.8455882352941176}	0.8873
0.4903	2.0	918	0.5500	{'accuracy': 0.8431372549019608}	0.8923
0.2654	3.0	1377	0.6850	{'accuracy': 0.8627450980392157}	0.9024

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3