sa_BERT_48_mrpc – AI Model by gokuls | AlphaNeural AI

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gokuls/
sa_BERT_48_mrpc

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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sa_BERT_48_mrpc

This model is a fine-tuned version of gokuls/bert_base_48 on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

Loss: 0.6401
Accuracy: 0.6520
F1: 0.7269
Combined Score: 0.6894

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: 4e-05
train_batch_size: 96
eval_batch_size: 96
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.6588	1.0	39	0.6401	0.6520	0.7269	0.6894
0.5982	2.0	78	0.6441	0.6863	0.7801	0.7332
0.4614	3.0	117	0.6615	0.6740	0.7787	0.7264
0.3148	4.0	156	0.7447	0.6765	0.7770	0.7267
0.226	5.0	195	0.9718	0.6054	0.6957	0.6505
0.1566	6.0	234	1.2879	0.5564	0.6268	0.5916

Framework versions

Transformers 4.30.2
Pytorch 1.14.0a0+410ce96
Datasets 2.13.0
Tokenizers 0.13.3